Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007917
Muhammad Ghaffar Adipridhana, M. Galinium, Heru Purnomo Ipung
The purpose of this study is to measure the staff medical expectations in one of the hospital in Jakarta towards the Portal Hospital Indonesia (PHI) website. The expectations are measured by the dimensions of the website, from the contents, the navigations, the structure and design, the appearance and multimedia, and the uniqueness of the website. Those dimensions are used based on previous study that has been conducted by other researcher about the website quality assessment. The research was conducted at one of the hospital in Jakarta. The sample of this study are the medical staff of the chosen hospital. After the data was gathered, Gap Analysis methodology was conducted. Gap Analysis is a methodology to find the gap between two components. In this case, the methodology is used to find the gap between the current Portal Hospital Indonesia website quality and the medical staff expectations of one hospital in Jakarta. Using gap analysis, some weaknesses of the Portal Hospital Indonesia website which is still under the medical staff expectations were revealed.
{"title":"Website quality assessment for portal hospital Indonesia using Gap Analysis","authors":"Muhammad Ghaffar Adipridhana, M. Galinium, Heru Purnomo Ipung","doi":"10.1109/ICITEED.2014.7007917","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007917","url":null,"abstract":"The purpose of this study is to measure the staff medical expectations in one of the hospital in Jakarta towards the Portal Hospital Indonesia (PHI) website. The expectations are measured by the dimensions of the website, from the contents, the navigations, the structure and design, the appearance and multimedia, and the uniqueness of the website. Those dimensions are used based on previous study that has been conducted by other researcher about the website quality assessment. The research was conducted at one of the hospital in Jakarta. The sample of this study are the medical staff of the chosen hospital. After the data was gathered, Gap Analysis methodology was conducted. Gap Analysis is a methodology to find the gap between two components. In this case, the methodology is used to find the gap between the current Portal Hospital Indonesia website quality and the medical staff expectations of one hospital in Jakarta. Using gap analysis, some weaknesses of the Portal Hospital Indonesia website which is still under the medical staff expectations were revealed.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114464944","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007962
E. Kurniawan, R. Wardoyo, Oka Mahendra
This paper introduces the design of decoupled repetitive control (RC) for multi-inputs multi-outputs (MIMO) system. The design is started by decoupling the MIMO system into separate single-input single-output (SISO) models. Then, a set of low order and causal RC compensator is designed for each single-input single-output (SISO) model obtained from decou-pling. The compensators that ensure the RC stability condition, are obtained by solving optimization problems. Simulation results are given to demonstrate the effectiveness of the proposed design.
{"title":"Design of decoupled repetitive control for MIMO systems","authors":"E. Kurniawan, R. Wardoyo, Oka Mahendra","doi":"10.1109/ICITEED.2014.7007962","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007962","url":null,"abstract":"This paper introduces the design of decoupled repetitive control (RC) for multi-inputs multi-outputs (MIMO) system. The design is started by decoupling the MIMO system into separate single-input single-output (SISO) models. Then, a set of low order and causal RC compensator is designed for each single-input single-output (SISO) model obtained from decou-pling. The compensators that ensure the RC stability condition, are obtained by solving optimization problems. Simulation results are given to demonstrate the effectiveness of the proposed design.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121407007","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007918
Danang Primaadi Wibowo, A. Munir
Since the artificial materials recently have been widely applied for various applications, such as resonators, filters, transmission lines, and antennas, it is necessary to explore how to extract the properties of materials, i.e. permittivity and permeability. Information about the materials properties is very important for the user before materials utilization. In this paper, a rectangular waveguide-based characterization to extract the property of three-dimension (3D) artificial material is numerically investigated. The proposed 3D artificial material is constructed from conventional materials with some additional treatment to obtain unusual characteristics. The material properties which are focused on relative permittivity is extracted from scattering parameters. The rectangular waveguide is used as a tool to obtain scattering parameter of proposed material. From the results, it shows that the relative permittivity of proposed 3D artificial material is strongly influenced by the variation of unit cell and proportionally rises up to the number and dimension of unit cell. Moreover, the relative permittivity also increases if the orientation of unit cell is parallel to the electric field of incoming wave.
{"title":"3D artificial material characterization using rectangular waveguide","authors":"Danang Primaadi Wibowo, A. Munir","doi":"10.1109/ICITEED.2014.7007918","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007918","url":null,"abstract":"Since the artificial materials recently have been widely applied for various applications, such as resonators, filters, transmission lines, and antennas, it is necessary to explore how to extract the properties of materials, i.e. permittivity and permeability. Information about the materials properties is very important for the user before materials utilization. In this paper, a rectangular waveguide-based characterization to extract the property of three-dimension (3D) artificial material is numerically investigated. The proposed 3D artificial material is constructed from conventional materials with some additional treatment to obtain unusual characteristics. The material properties which are focused on relative permittivity is extracted from scattering parameters. The rectangular waveguide is used as a tool to obtain scattering parameter of proposed material. From the results, it shows that the relative permittivity of proposed 3D artificial material is strongly influenced by the variation of unit cell and proportionally rises up to the number and dimension of unit cell. Moreover, the relative permittivity also increases if the orientation of unit cell is parallel to the electric field of incoming wave.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134325004","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007907
H. A. Nugroho, N. Faisal, I. Soesanti, L. Choridah
The most popular techniques in early breast cancer detection is using digital mammogram. However, the challenge lies in early and accurate detection the irregular masses with spiculated margin as the most common abnormality. This paper proposes an image classifier to classify the mammogram images. The abnormality that can be founded in mammogram image is classified into malignant, benign and normal cases. By applying Computer Aided Diagnosis (CAD), totally 12 features comprising of histogram and GLCM as the texture based features are extracted from the mammogram image. Correlation based feature selection (CFS) is used in this paper which reduces 50% of the features. Multilayer perceptron algorithm is applied to mammography classification by using these selected features. The experimental result shows that 40 digital mammograms data taken from private Oncology Clinic Kotabaru Yogyakarta was achieved 91.66% of accuracy. The approach can be beneficial to radiologists for more accurate diagnosis.
{"title":"Identification of malignant masses on digital mammogram images based on texture feature and correlation based feature selection","authors":"H. A. Nugroho, N. Faisal, I. Soesanti, L. Choridah","doi":"10.1109/ICITEED.2014.7007907","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007907","url":null,"abstract":"The most popular techniques in early breast cancer detection is using digital mammogram. However, the challenge lies in early and accurate detection the irregular masses with spiculated margin as the most common abnormality. This paper proposes an image classifier to classify the mammogram images. The abnormality that can be founded in mammogram image is classified into malignant, benign and normal cases. By applying Computer Aided Diagnosis (CAD), totally 12 features comprising of histogram and GLCM as the texture based features are extracted from the mammogram image. Correlation based feature selection (CFS) is used in this paper which reduces 50% of the features. Multilayer perceptron algorithm is applied to mammography classification by using these selected features. The experimental result shows that 40 digital mammograms data taken from private Oncology Clinic Kotabaru Yogyakarta was achieved 91.66% of accuracy. The approach can be beneficial to radiologists for more accurate diagnosis.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"68 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127742417","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007895
K. Prilianti, Samuel P. Yuwono, M. A. Adhiwibawa, M. N. U. Prihastyanti, L. Limantara, T. H. Brotosudarmo
Detecting plant nutrient deficiencies and evaluating fertilizer program are done by leaf tissue analysis. Unfortunately, this quantitative method is quite expensive and time consuming for traditional farmers due to its laboratory procedure. In this research, an automatic and non-destructive method based on digital image for soybean leaf color level determination was developed. Color level status is used to determine the fertilizer dose based on crops current need. The color level was adopted from 4-panel Leaf Color Chart (LCC) and a fuzzy logic model was applied to capture the leaf color gradation. Therefore, the leaf color status is not restricted only in 4 categories, but gradually change from light yellow up to dark green. Using this mechanism the N fertilizer dose will also gradually adjust. Hence, the N fertilizer could be used efficiently and in the same time prevent the environment from negative effects of fertilizer overuse. The method was embedded in a mobile application to facilitate real time field application. Hence, detection of soybean nutrient deficiencies and fertilizer program evaluation will need less time and low cost. From the field test, it was known that the mobile application could determine the soybean color level correctly.
通过对叶片组织的分析，可以发现植物的营养缺陷，并对施肥方案进行评估。不幸的是，由于其实验室程序，这种定量方法对传统农民来说非常昂贵和耗时。本文研究了一种基于数字图像的大豆叶片颜色水平自动无损检测方法。颜色等级状态用于根据作物当前需求确定肥料剂量。颜色层次采用4-panel Leaf color Chart (LCC)，并采用模糊逻辑模型捕捉叶片颜色层次。因此，叶色状态不再局限于4类，而是逐渐由浅黄色变为深绿色。利用这一机制，氮肥用量也会逐渐调整。在有效利用氮肥的同时，防止氮肥过度施用对环境的负面影响。该方法被嵌入到一个移动应用程序中，以方便现场实时应用。因此，大豆营养缺乏症的检测和施肥方案评价将需要更少的时间和更低的成本。现场测试表明，该移动应用程序可以正确判断大豆的颜色等级。
{"title":"Automatic leaf color level determination for need based fertilizer using fuzzy logic on mobile application: A model for soybean leaves","authors":"K. Prilianti, Samuel P. Yuwono, M. A. Adhiwibawa, M. N. U. Prihastyanti, L. Limantara, T. H. Brotosudarmo","doi":"10.1109/ICITEED.2014.7007895","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007895","url":null,"abstract":"Detecting plant nutrient deficiencies and evaluating fertilizer program are done by leaf tissue analysis. Unfortunately, this quantitative method is quite expensive and time consuming for traditional farmers due to its laboratory procedure. In this research, an automatic and non-destructive method based on digital image for soybean leaf color level determination was developed. Color level status is used to determine the fertilizer dose based on crops current need. The color level was adopted from 4-panel Leaf Color Chart (LCC) and a fuzzy logic model was applied to capture the leaf color gradation. Therefore, the leaf color status is not restricted only in 4 categories, but gradually change from light yellow up to dark green. Using this mechanism the N fertilizer dose will also gradually adjust. Hence, the N fertilizer could be used efficiently and in the same time prevent the environment from negative effects of fertilizer overuse. The method was embedded in a mobile application to facilitate real time field application. Hence, detection of soybean nutrient deficiencies and fertilizer program evaluation will need less time and low cost. From the field test, it was known that the mobile application could determine the soybean color level correctly.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123686833","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007893
Natta Tammachat, N. Pantuwong
This paper proposes a technique that allows novice users to retrieve motions using a mobile multi-touch device. A user first inputs a motion that he wants to obtain by manipulating a part of a character skeleton with multiple fingers. The proposed system automatically retrieves a couple of candidate motions from a motion database and visualizes them to the user. He selects one of them and manipulates a different part of the skeleton. Then the system generates a new motion by synthesizing multiple motion data retrieved through different parts of skeleton manipulations. By manipulating skeletons and retrieving motions iteratively, the user can obtain his desired motion in an efficient and easy manner. A pilot study has been conducted using the proposed system to clarify problems to be solved and functions to be improved.
{"title":"An intuitive user interface for motion retrieval on a mobile multi-touch device","authors":"Natta Tammachat, N. Pantuwong","doi":"10.1109/ICITEED.2014.7007893","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007893","url":null,"abstract":"This paper proposes a technique that allows novice users to retrieve motions using a mobile multi-touch device. A user first inputs a motion that he wants to obtain by manipulating a part of a character skeleton with multiple fingers. The proposed system automatically retrieves a couple of candidate motions from a motion database and visualizes them to the user. He selects one of them and manipulates a different part of the skeleton. Then the system generates a new motion by synthesizing multiple motion data retrieved through different parts of skeleton manipulations. By manipulating skeletons and retrieving motions iteratively, the user can obtain his desired motion in an efficient and easy manner. A pilot study has been conducted using the proposed system to clarify problems to be solved and functions to be improved.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123615103","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007899
M. Mahmoodi, S. Sayedi
Skin detection plays a very essential role in many image processing applications such as face localization, face recognition, gesture recognition and human identification. A robust pre-processing skin detection algorithm can significantly increase the performance of an application in both terms of speed and accuracy. Skin segmentation is often computationally simple, though in many conditions, uneven and nonlinear illumination degrades its performance. Recently, many methods have been proposed to solve the problem, yet most of them are not applicable in different conditions and disparate illuminations. This paper proposes an algorithm which employs not only a pixel-based processing, but also an additional neighbor-based and region-based processing. This enhances the output of the algorithm. Also a novel method in which the YCbCr image is converted to a ternary image by means of a set of decisive rules is employed. In a further processing stage, a region-based algorithm is used to decide with a high certainly on the pixels which are not skin. Results demonstrate that the proposed algorithm is robust and capable of detecting skin windows comparable with state of the art algorithms.
{"title":"Boosting performance of face detection by using an efficient skin segmentation algorithm","authors":"M. Mahmoodi, S. Sayedi","doi":"10.1109/ICITEED.2014.7007899","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007899","url":null,"abstract":"Skin detection plays a very essential role in many image processing applications such as face localization, face recognition, gesture recognition and human identification. A robust pre-processing skin detection algorithm can significantly increase the performance of an application in both terms of speed and accuracy. Skin segmentation is often computationally simple, though in many conditions, uneven and nonlinear illumination degrades its performance. Recently, many methods have been proposed to solve the problem, yet most of them are not applicable in different conditions and disparate illuminations. This paper proposes an algorithm which employs not only a pixel-based processing, but also an additional neighbor-based and region-based processing. This enhances the output of the algorithm. Also a novel method in which the YCbCr image is converted to a ternary image by means of a set of decisive rules is employed. In a further processing stage, a region-based algorithm is used to decide with a high certainly on the pixels which are not skin. Results demonstrate that the proposed algorithm is robust and capable of detecting skin windows comparable with state of the art algorithms.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114639310","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007906
A. R. Putri, A. Susanto, Litasari
Classification and identification of granulated sugar in Indonesia were previously done with no quantitative standard. In the production of granulated sugar, several stages and condition produce different kinds of sugar, resulting the need of supervision. Standardisation was designed to follow ICUMSA, a standard based on chemical process. System was designed to identify ICUMSA value of granulated sugar from its image. System was designed as Multi-Level Perceptron Artificial Neural Network with one hidden layer of five neurons using Levenberg-Marquardt algorithm with output trained to follow known ICUMSA values. Colour and textural features were extracted from 180 images of granulated sugar for Artificial Neural Network inputs. Colour moments, Haralick features, and symlet wavelet transform were used as features. After feature reduction, the designed system correctly identified ICUMSA and classified the 6 samples of granulated sugar with 3.623% of error.
{"title":"ICUMSA identification of granulated sugar using discrete wavelet transform and colour moments","authors":"A. R. Putri, A. Susanto, Litasari","doi":"10.1109/ICITEED.2014.7007906","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007906","url":null,"abstract":"Classification and identification of granulated sugar in Indonesia were previously done with no quantitative standard. In the production of granulated sugar, several stages and condition produce different kinds of sugar, resulting the need of supervision. Standardisation was designed to follow ICUMSA, a standard based on chemical process. System was designed to identify ICUMSA value of granulated sugar from its image. System was designed as Multi-Level Perceptron Artificial Neural Network with one hidden layer of five neurons using Levenberg-Marquardt algorithm with output trained to follow known ICUMSA values. Colour and textural features were extracted from 180 images of granulated sugar for Artificial Neural Network inputs. Colour moments, Haralick features, and symlet wavelet transform were used as features. After feature reduction, the designed system correctly identified ICUMSA and classified the 6 samples of granulated sugar with 3.623% of error.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114443171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007916
Daniel Febrian Sengkey, Sayuri Egaravanda, L. Nugroho
High number of tourist visits is one influencing factor for road congestion. During peak hours of, traveller even need more planning and re-planning actions to ensure the trip will succeed. Therefore, transportation-related information are required to assist traveller for planning trip, finding best route, and looking for public transport facility. Technological advance makes it possible to use technology in transport infrastructure. Traveler Information System (TIS) is an example of technological use in transportation engineering. TIS could help travellers getting information about roads, available public transport, etc. This paper presents implementation of TIS in Special Region of Yogyakarta, Indonesia using object-oriented model. This system offers transportation-related information such as bus routes, and route guidance, also events which took place around the region.
{"title":"TIS Dishub DIY: An implementation of traveler information system in special region of Yogyakarta","authors":"Daniel Febrian Sengkey, Sayuri Egaravanda, L. Nugroho","doi":"10.1109/ICITEED.2014.7007916","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007916","url":null,"abstract":"High number of tourist visits is one influencing factor for road congestion. During peak hours of, traveller even need more planning and re-planning actions to ensure the trip will succeed. Therefore, transportation-related information are required to assist traveller for planning trip, finding best route, and looking for public transport facility. Technological advance makes it possible to use technology in transport infrastructure. Traveler Information System (TIS) is an example of technological use in transportation engineering. TIS could help travellers getting information about roads, available public transport, etc. This paper presents implementation of TIS in Special Region of Yogyakarta, Indonesia using object-oriented model. This system offers transportation-related information such as bus routes, and route guidance, also events which took place around the region.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115576718","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2014-10-01DOI: 10.1109/ICITEED.2014.7007914
K. Woraratpanya, Kitsuchart Pasupa, Ungsumalee Suttapakti, Pimlak Boonchukusol, Taravichet Titijaroonroj, Rattaphon Hokking, Y. Kuroki, Yasushi Kato
Thai text localization and recognition in natural scenes is still a grand challenge in current applications. However, the efficiency of recognition rates depends on text localization, i.e., the higher purity of text-background decomposition leads to the higher accuracy rate of character recognition. In order to achieve this purpose, the text-background decomposition methods, namely adaptive boundary clustering (ABC) and n-point boundary clustering (n-PBC), are proposed to improve a precision of text localization. These methods are evaluated by self-entropy for purity measure. Based on 300 test images, the experimental results demonstrate that the ABC method achieves the very low self-entropy, i.e., the low self-entropy implies the good decomposition of text and background. Furthermore, based on 8,077 characters in natural scene test images, the ABC method helps increase the precision of text localization and improves the accuracy rate of character recognition, when compared to the conventional methods.
{"title":"Text-background decomposition for thai text localization and recognition in natural scenes","authors":"K. Woraratpanya, Kitsuchart Pasupa, Ungsumalee Suttapakti, Pimlak Boonchukusol, Taravichet Titijaroonroj, Rattaphon Hokking, Y. Kuroki, Yasushi Kato","doi":"10.1109/ICITEED.2014.7007914","DOIUrl":"https://doi.org/10.1109/ICITEED.2014.7007914","url":null,"abstract":"Thai text localization and recognition in natural scenes is still a grand challenge in current applications. However, the efficiency of recognition rates depends on text localization, i.e., the higher purity of text-background decomposition leads to the higher accuracy rate of character recognition. In order to achieve this purpose, the text-background decomposition methods, namely adaptive boundary clustering (ABC) and n-point boundary clustering (n-PBC), are proposed to improve a precision of text localization. These methods are evaluated by self-entropy for purity measure. Based on 300 test images, the experimental results demonstrate that the ABC method achieves the very low self-entropy, i.e., the low self-entropy implies the good decomposition of text and background. Furthermore, based on 8,077 characters in natural scene test images, the ABC method helps increase the precision of text localization and improves the accuracy rate of character recognition, when compared to the conventional methods.","PeriodicalId":148115,"journal":{"name":"2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116723829","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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