Pub Date : 2017-05-01DOI: 10.1109/SSPS.2017.8071623
Srishti Singh, Amrit Paul, M. Arun
A Compute Unified Device Architecture (CUDA) implementation of Deep Convolutional Neural Network (DCNN) for a digit recognition system is proposed to reduce the computation time of ANN and achieve high accuracy. A neural network with three layers of convolutions and two fully connected layers is developed by building input, hidden and output neurons to achieve an improved accuracy. The network is parallelized using a dedicated GPU on CUDA platform using Tensor flow library. A comparative analysis of accuracy and computation time is performed for sequential and parallel execution of the network on dual core (4 logical processors) CPU, octa core (16 logical processors) only CPU and octa core (16 logical processors) CPU with GPU systems. MNIST (Modified National Institute of Standards and Technology) and EMNIST (Extended MNIST) database are used for both training and testing. MNIST has 55000 training sets, 10000 testing sets and 5000 validation sets. EMNIST consists of 235000 training, 40000 testing and 5000 validation sets. The network designed requires high computation and hence parallelizing it shows significant improvement in execution time.
提出了一种基于CUDA的深度卷积神经网络(DCNN)的数字识别方法，以减少人工神经网络的计算时间，达到较高的识别精度。通过构建输入、隐藏和输出神经元，构建了具有三层卷积和两层全连接的神经网络，以提高准确率。该网络使用CUDA平台上的专用GPU使用Tensor flow库进行并行化。在双核(4个逻辑处理器)CPU、单八核(16个逻辑处理器)CPU和带GPU系统的八核(16个逻辑处理器)CPU上对网络的顺序和并行执行进行了精度和计算时间的比较分析。MNIST (Modified National Institute of Standards and Technology)和EMNIST (Extended MNIST)数据库用于培训和测试。MNIST有55000个训练集，10000个测试集和5000个验证集。EMNIST由235000个训练集、40000个测试集和5000个验证集组成。设计的网络需要高计算量，因此并行化在执行时间上有显著改善。
{"title":"Parallelization of digit recognition system using Deep Convolutional Neural Network on CUDA","authors":"Srishti Singh, Amrit Paul, M. Arun","doi":"10.1109/SSPS.2017.8071623","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071623","url":null,"abstract":"A Compute Unified Device Architecture (CUDA) implementation of Deep Convolutional Neural Network (DCNN) for a digit recognition system is proposed to reduce the computation time of ANN and achieve high accuracy. A neural network with three layers of convolutions and two fully connected layers is developed by building input, hidden and output neurons to achieve an improved accuracy. The network is parallelized using a dedicated GPU on CUDA platform using Tensor flow library. A comparative analysis of accuracy and computation time is performed for sequential and parallel execution of the network on dual core (4 logical processors) CPU, octa core (16 logical processors) only CPU and octa core (16 logical processors) CPU with GPU systems. MNIST (Modified National Institute of Standards and Technology) and EMNIST (Extended MNIST) database are used for both training and testing. MNIST has 55000 training sets, 10000 testing sets and 5000 validation sets. EMNIST consists of 235000 training, 40000 testing and 5000 validation sets. The network designed requires high computation and hence parallelizing it shows significant improvement in execution time.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"17 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126568976","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071635
R. Ranihemamalini, S. Ashwitha, M. Aarthy, A. Abhineyaa, Aditii
PLC (Power line communication) is a technology that provides high speed communication of voice and data and its is very cost effective method. It has been successfully implemented in many applications in real time. In this project one such application is used to digitize an institution by replacing circulars or notice boards by digital notice boards. Frequent updating is easy with a centralized systems. Data's are sent through existing power line to a particular power line node or various nodes. The information is obtained from server and it is displayed using LCD at the reception. when a message is received it is intimated to students using a voice board. A personal Computer, power line modem, voice board and an LCD display are used to design digital notice board via power line.
{"title":"Digital notice board implementation via power line communication","authors":"R. Ranihemamalini, S. Ashwitha, M. Aarthy, A. Abhineyaa, Aditii","doi":"10.1109/SSPS.2017.8071635","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071635","url":null,"abstract":"PLC (Power line communication) is a technology that provides high speed communication of voice and data and its is very cost effective method. It has been successfully implemented in many applications in real time. In this project one such application is used to digitize an institution by replacing circulars or notice boards by digital notice boards. Frequent updating is easy with a centralized systems. Data's are sent through existing power line to a particular power line node or various nodes. The information is obtained from server and it is displayed using LCD at the reception. when a message is received it is intimated to students using a voice board. A personal Computer, power line modem, voice board and an LCD display are used to design digital notice board via power line.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133971229","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071639
Kamyar Nemati, Kannan Ramakrishnan
A single cycle of an ECG signal is composed of multiple segments. The QRS segment is considered as the most important segment for accurate diagnosis in many heart related disorders and this segment should be preserved against any major signal distortion during the process of compression. In this paper, a novel hybrid ECG signal data compression technique is proposed, in which lossless compression is applied on QRS segments and lossy compression is applied on other segments, without actually implementing any wave-recognition algorithm. Experimental results have shown that with the optimal selection of threshold and aperture size, it is possible to preserve the quality of QRS segments for enhancing the diagnostic capability with the reconstructed signal while achieving higher compression efficiency at the same time.
{"title":"Hybrid lossless and lossy compression technique for ECG signals","authors":"Kamyar Nemati, Kannan Ramakrishnan","doi":"10.1109/SSPS.2017.8071639","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071639","url":null,"abstract":"A single cycle of an ECG signal is composed of multiple segments. The QRS segment is considered as the most important segment for accurate diagnosis in many heart related disorders and this segment should be preserved against any major signal distortion during the process of compression. In this paper, a novel hybrid ECG signal data compression technique is proposed, in which lossless compression is applied on QRS segments and lossy compression is applied on other segments, without actually implementing any wave-recognition algorithm. Experimental results have shown that with the optimal selection of threshold and aperture size, it is possible to preserve the quality of QRS segments for enhancing the diagnostic capability with the reconstructed signal while achieving higher compression efficiency at the same time.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"6 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115724562","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071633
K. Kishore, P. Krishna, D. Srikanth
Automatic Feeding system for Aquaculture is an innovative product in which aqua farmer can feed the aquatic creatures in their fisheries and different fishing habitats. The system contains mainly a boat which has an in built container where the fish feed is loaded. The automatic controlled boat can to feed both solid and liquid feed as well medicines. The farmer can just sit on the banks of the pond and operate the boat using an RF transmitter. The navigation of the boat will be easier and less complicated due to the video transmitter and receiver fixed to the boat.
{"title":"Automatic Feeding system for Aquaculture","authors":"K. Kishore, P. Krishna, D. Srikanth","doi":"10.1109/SSPS.2017.8071633","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071633","url":null,"abstract":"Automatic Feeding system for Aquaculture is an innovative product in which aqua farmer can feed the aquatic creatures in their fisheries and different fishing habitats. The system contains mainly a boat which has an in built container where the fish feed is loaded. The automatic controlled boat can to feed both solid and liquid feed as well medicines. The farmer can just sit on the banks of the pond and operate the boat using an RF transmitter. The navigation of the boat will be easier and less complicated due to the video transmitter and receiver fixed to the boat.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134403760","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071632
I. Vaani, Simema J. Sushil, U. S. Vani Kunjamma, Akshaya Ramachandran, V. Bai, B. Thyla
Manual scavenging was ruled illegal in 2013, but private contractors hired by the municipal government continue to employ manua scavengers. Hundreds reportedly die from the work each year. To provide a complete solution to this deplorable situation, artificia intelligence is used as a replacement to manpower. The sewage inspection and cleaning is done by a mechanical device driven b; electronic automation. BhrtyArtana (where ‘Bhrtya’ means robot and ‘Artana’ means waste) is an automated sewer robot that cai conduct an inspection of the sewage pipeline and clear any blockage within it. The robot first inspects sewer lines for cracks, corrosion obstacles, etc. A camera installed atop the robot carries out live streaming of the interior of the pipeline. These visuals are viewed b the operator in software to be recorded for future reference. Furthermore, the robot is equipped with a proximity sensor at the front o its body to detect the presence of an obstacle in front of it. As the robot nears the obstacle, the turbine starts cutting through th obstacle, thus, clearing the obstacle. Thus, this device effectively decreases all the predicaments associated with sewage cleaning an inspection.
{"title":"BhrtyArtana (A pipe cleaning and inspection robot)","authors":"I. Vaani, Simema J. Sushil, U. S. Vani Kunjamma, Akshaya Ramachandran, V. Bai, B. Thyla","doi":"10.1109/SSPS.2017.8071632","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071632","url":null,"abstract":"Manual scavenging was ruled illegal in 2013, but private contractors hired by the municipal government continue to employ manua scavengers. Hundreds reportedly die from the work each year. To provide a complete solution to this deplorable situation, artificia intelligence is used as a replacement to manpower. The sewage inspection and cleaning is done by a mechanical device driven b; electronic automation. BhrtyArtana (where ‘Bhrtya’ means robot and ‘Artana’ means waste) is an automated sewer robot that cai conduct an inspection of the sewage pipeline and clear any blockage within it. The robot first inspects sewer lines for cracks, corrosion obstacles, etc. A camera installed atop the robot carries out live streaming of the interior of the pipeline. These visuals are viewed b the operator in software to be recorded for future reference. Furthermore, the robot is equipped with a proximity sensor at the front o its body to detect the presence of an obstacle in front of it. As the robot nears the obstacle, the turbine starts cutting through th obstacle, thus, clearing the obstacle. Thus, this device effectively decreases all the predicaments associated with sewage cleaning an inspection.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133657504","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071626
R. P. Iyer, Archanaa Raveendran, S. Bhuvana, R. Kavitha
This article presents an overview of hyperspectral image analysis and processing techniques based on remote sensing. Image analysis methods will be explained in detail. A general framework is presented for working with hyperspectral imagery, including removal of atmospheric effects. Due to large dimensionality of the feature space, hyperspectral data poses a challenge to image interpretation in the following ways: 1) need of calibration of data2) redundancy in information and 3) high volume data. Hence, a brief discussion on dimensionality reduction will also be presented in this review.
{"title":"Hyperspectral image analysis techniques on remote sensing","authors":"R. P. Iyer, Archanaa Raveendran, S. Bhuvana, R. Kavitha","doi":"10.1109/SSPS.2017.8071626","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071626","url":null,"abstract":"This article presents an overview of hyperspectral image analysis and processing techniques based on remote sensing. Image analysis methods will be explained in detail. A general framework is presented for working with hyperspectral imagery, including removal of atmospheric effects. Due to large dimensionality of the feature space, hyperspectral data poses a challenge to image interpretation in the following ways: 1) need of calibration of data2) redundancy in information and 3) high volume data. Hence, a brief discussion on dimensionality reduction will also be presented in this review.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117311841","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071570
N. Belsha, N. Hariprasad
Vegetables play a major role in Indian agriculture by providing economic viability, nutritional security, and fit well into the predominant intensive cropping systems prevailing in different parts of our country. To develop technologies that enhance quality and productivity of vegetables and solve increasing biotic and abiotic diseases is the major challenge in vegetable research. The vegetable disease identification and classification is the most important and catching attention research topic in the agriculture science. Image processing is the most suitable and best tool for classification and retrieval system. The Proposed work is to retrieve and classify the various types of infected and non-infected vegetable image. Searching the vegetable image from the large database for the analysis of the quality is difficult to defeat this Content-Based Image Retrieval (CBIR) system is introduced. A novel approach of CBIR system is used in the vegetable images by using feature extraction techniques. In classification of the infected vegetables is done through the process of feature extraction and classification. The final results shows for enhanced system of five types of vegetables like carrot, potato, bell pepper, Cabbage and tomato, Area of Infection of infected vegetable, and performance analysis of Infected/Non-infected vegetables.
{"title":"The enhanced content based image retrieval system and classification of infected vegetables","authors":"N. Belsha, N. Hariprasad","doi":"10.1109/SSPS.2017.8071570","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071570","url":null,"abstract":"Vegetables play a major role in Indian agriculture by providing economic viability, nutritional security, and fit well into the predominant intensive cropping systems prevailing in different parts of our country. To develop technologies that enhance quality and productivity of vegetables and solve increasing biotic and abiotic diseases is the major challenge in vegetable research. The vegetable disease identification and classification is the most important and catching attention research topic in the agriculture science. Image processing is the most suitable and best tool for classification and retrieval system. The Proposed work is to retrieve and classify the various types of infected and non-infected vegetable image. Searching the vegetable image from the large database for the analysis of the quality is difficult to defeat this Content-Based Image Retrieval (CBIR) system is introduced. A novel approach of CBIR system is used in the vegetable images by using feature extraction techniques. In classification of the infected vegetables is done through the process of feature extraction and classification. The final results shows for enhanced system of five types of vegetables like carrot, potato, bell pepper, Cabbage and tomato, Area of Infection of infected vegetable, and performance analysis of Infected/Non-infected vegetables.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121048670","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071562
J. Kaur, S. Gaikwad
In the current scenario, there exist huge amount of audio files with mixed sound sources. These mixed sounds consist of different frequencies viz. high frequency (string instruments like guitar), low frequencies (base instrument like drums, tabla) and intermediate human speech frequency. All these frequencies makes a music signal which is required for pleasure. The music creation is achieved by mixing of multiple signals using mixer. Our aim is to reverse the process of mixing and extract an audio signals so that they can be used in applications like karaoke, remix, instrumental music, audio restoration etc. One of the major application is noise cancellation and music transcription. In this paper we have demonstrated separation of single channel separation from mixed audio signal with the accuracy of 93% and average extraction speed of 20 seconds per minute of audio.
{"title":"Extraction of single channel from mixed audio sample using adaptive factorization","authors":"J. Kaur, S. Gaikwad","doi":"10.1109/SSPS.2017.8071562","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071562","url":null,"abstract":"In the current scenario, there exist huge amount of audio files with mixed sound sources. These mixed sounds consist of different frequencies viz. high frequency (string instruments like guitar), low frequencies (base instrument like drums, tabla) and intermediate human speech frequency. All these frequencies makes a music signal which is required for pleasure. The music creation is achieved by mixing of multiple signals using mixer. Our aim is to reverse the process of mixing and extract an audio signals so that they can be used in applications like karaoke, remix, instrumental music, audio restoration etc. One of the major application is noise cancellation and music transcription. In this paper we have demonstrated separation of single channel separation from mixed audio signal with the accuracy of 93% and average extraction speed of 20 seconds per minute of audio.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116132197","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071649
R. Arunkumar, Tharani Vimal
Snappy surrounding alert is an android application for headphone users who receive voice alert message about their surroundings while they are listening to something using their headphone. It alerts the users automatically by capturing the situation in his surroundings. If the user wants to be alerted about the surrounding when he uses the headphone he should first enable the Snappy surrounding alert app and the GPS. After enabling, the application starts to work and alerts the user under three different scenarios. First is a location based alert, where the GPS continuously collects the current latitude and longitude of the user and alerts him through his headphone speaker with a voice message when he is in careful zone such as railway station, highways, railway track. Second is a high pitch alert, which is triggered when the headphones microphone receives a high pitch sound such as vehicle horn from the surrounding. Third is a calling alert that will be raised when someone from nearest surrounding calls the mobile user by his name or other general context such as sir, excuse me, madam and so on. The alert message for all the scenarios are played in the format of voice. Thus this application can continuously monitor the surroundings and warn the mobile headphone users. It reduces many accidents and introduces a system which solves the problem for headphone users.
{"title":"Snappy surrounding alert for android","authors":"R. Arunkumar, Tharani Vimal","doi":"10.1109/SSPS.2017.8071649","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071649","url":null,"abstract":"Snappy surrounding alert is an android application for headphone users who receive voice alert message about their surroundings while they are listening to something using their headphone. It alerts the users automatically by capturing the situation in his surroundings. If the user wants to be alerted about the surrounding when he uses the headphone he should first enable the Snappy surrounding alert app and the GPS. After enabling, the application starts to work and alerts the user under three different scenarios. First is a location based alert, where the GPS continuously collects the current latitude and longitude of the user and alerts him through his headphone speaker with a voice message when he is in careful zone such as railway station, highways, railway track. Second is a high pitch alert, which is triggered when the headphones microphone receives a high pitch sound such as vehicle horn from the surrounding. Third is a calling alert that will be raised when someone from nearest surrounding calls the mobile user by his name or other general context such as sir, excuse me, madam and so on. The alert message for all the scenarios are played in the format of voice. Thus this application can continuously monitor the surroundings and warn the mobile headphone users. It reduces many accidents and introduces a system which solves the problem for headphone users.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"93 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128601425","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 : 2017-05-01DOI: 10.1109/SSPS.2017.8071571
Bhagyashree Besra, R. Mohapatra
Vascular biometrie is the method of analyzing the vein patterns or the patterns of blood vessels under the skin. The property of it being unforgeable, unspoofable, universal and unique, makes it highly preferable for a biometric authentication method. In this experiment, we have used CIE vein database, consisting of 1200 infrared palm images and 1200 infrared wrist images, each of 1280×960 resolution and of a 24-bit bitmap. In this paper, we have introduced a pre-processing phase followed by a feature extraction method. In the first stage, these images undergo several steps like; a) image acquisition, b) pre-processing, c) image normalization and d) post-processing. The binary image which is obtained in this phase is input for the next phase. Feature extraction of the vein patterns from the resulted binary image is based on line tracking algorithm with randomly start positions. Hence, the result has been recorded and found to be enhanced with this pre-processed technique.
{"title":"Extraction of segmented vein patterns using repeated line tracking algorithm","authors":"Bhagyashree Besra, R. Mohapatra","doi":"10.1109/SSPS.2017.8071571","DOIUrl":"https://doi.org/10.1109/SSPS.2017.8071571","url":null,"abstract":"Vascular biometrie is the method of analyzing the vein patterns or the patterns of blood vessels under the skin. The property of it being unforgeable, unspoofable, universal and unique, makes it highly preferable for a biometric authentication method. In this experiment, we have used CIE vein database, consisting of 1200 infrared palm images and 1200 infrared wrist images, each of 1280×960 resolution and of a 24-bit bitmap. In this paper, we have introduced a pre-processing phase followed by a feature extraction method. In the first stage, these images undergo several steps like; a) image acquisition, b) pre-processing, c) image normalization and d) post-processing. The binary image which is obtained in this phase is input for the next phase. Feature extraction of the vein patterns from the resulted binary image is based on line tracking algorithm with randomly start positions. Hence, the result has been recorded and found to be enhanced with this pre-processed technique.","PeriodicalId":382353,"journal":{"name":"2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130853311","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：