Pub Date : 2017-10-01DOI: 10.1109/ICISIM.2017.8122187
N. Pinjari, S. Bindu
This paper deals with design, simulations and comparison of various bipolar Marx topologies. Output voltage pulse specifications are 10 kV, % voltage droop − 10%, PRF − 1kHz and pulse width of 5μsec. The features of inductive charging and charging through input switch is analyzed. Bipolar Marx generator with six switches, five switches and four switch topologies are designed and simulated. These solid-state circuits are charged through a diode and switch. During the erection mode, a pulse current of kiloampere range of short duration is passing through this switch. A comparative analysis is carried out on the output pulse parameters for the Marx modulators.
{"title":"Performance analysis of bipolar Marx generator topologies with input switch charging and inductive charging method","authors":"N. Pinjari, S. Bindu","doi":"10.1109/ICISIM.2017.8122187","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122187","url":null,"abstract":"This paper deals with design, simulations and comparison of various bipolar Marx topologies. Output voltage pulse specifications are 10 kV, % voltage droop − 10%, PRF − 1kHz and pulse width of 5μsec. The features of inductive charging and charging through input switch is analyzed. Bipolar Marx generator with six switches, five switches and four switch topologies are designed and simulated. These solid-state circuits are charged through a diode and switch. During the erection mode, a pulse current of kiloampere range of short duration is passing through this switch. A comparative analysis is carried out on the output pulse parameters for the Marx modulators.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"82 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126461048","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 : 2017-10-01DOI: 10.1109/ICISIM.2017.8122148
Ranjana W. Gore, D. Deshpande
There is a need to exploit the available data collected on environment for the development of smart cities in order to improve the air quality which in turn can improve the quality of life for a city. Air pollution is becoming a serious concern to the society as the air pollutants are very hazardous in nature. Pollutants affect the health and causes respiratory and cardiac problems. If air pollutants cross the limits it might be life threatening. Software or tool can be developed whose results can be applied for predicting air pollution levels, predicting air pollution related health concerns, monitoring controlling air pollution and this is challenging one. This paper focuses on analysis of air based on the available data of various air pollutants such as NO2, SO2, CO and O3. The dataset is downloaded from Kaggle website which contains air pollutant's with corresponding AQI values. This paper implements Naive Bayes and Decision tree J48 algorithm for predicting the health concern. The categories based on Air Quality Index(AQI) are good, moderate, (unhealthy for sensitive groups) unhealthy_s, unhealthy, very_unhealthy. The result shown that decision tree algorithm gives 91.9978 % accuracy which is more than that of Naïve Bayes algorithm viz. 86.663%.
{"title":"An approach for classification of health risks based on air quality levels","authors":"Ranjana W. Gore, D. Deshpande","doi":"10.1109/ICISIM.2017.8122148","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122148","url":null,"abstract":"There is a need to exploit the available data collected on environment for the development of smart cities in order to improve the air quality which in turn can improve the quality of life for a city. Air pollution is becoming a serious concern to the society as the air pollutants are very hazardous in nature. Pollutants affect the health and causes respiratory and cardiac problems. If air pollutants cross the limits it might be life threatening. Software or tool can be developed whose results can be applied for predicting air pollution levels, predicting air pollution related health concerns, monitoring controlling air pollution and this is challenging one. This paper focuses on analysis of air based on the available data of various air pollutants such as NO2, SO2, CO and O3. The dataset is downloaded from Kaggle website which contains air pollutant's with corresponding AQI values. This paper implements Naive Bayes and Decision tree J48 algorithm for predicting the health concern. The categories based on Air Quality Index(AQI) are good, moderate, (unhealthy for sensitive groups) unhealthy_s, unhealthy, very_unhealthy. The result shown that decision tree algorithm gives 91.9978 % accuracy which is more than that of Naïve Bayes algorithm viz. 86.663%.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126640421","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 : 2017-10-01DOI: 10.1109/ICISIM.2017.8122193
D. Vidhate, P. Kulkarni
Traffic crisis often happen because of traffic burden by the large number automobiles on the path. Increasing transportation move and decreasing the average waiting time of each vehicle are the aims of cooperative intelligent traffic control system. Each signal wishes to catch better travel move. During the course, signals form a strategy of cooperation in addition to restriction for neighboring signals to exploit their individual benefit. A superior traffic signal scheduling strategy is used to resolve the difficulty. The several parameters may influence the traffic control model. So it is hard to learn the best possible result. Traffic light controllers are not expert to study from previous results. Due to this, they are unable to include the uncertain transformation of traffic flow. Reinforcement learning algorithm based traffic control model used to get fine timing rules by properly defining real-time parameters of the real traffic scenario. The projected real-time traffic control optimization prototype is able to continue with the traffic signal scheduling rules successfully. The model expands traffic value of the vehicle, which consists of delay time, the number of vehicles stopped at a signal, and the newly arriving vehicles to learn and set up the optimal actions. The experimentation outcome illustrates a major enhancement in traffic control, demonstrating the projected model is competent of making possible real-time dynamic traffic control.
{"title":"Cooperative multi-agent reinforcement learning models (CMRLM) for intelligent traffic control","authors":"D. Vidhate, P. Kulkarni","doi":"10.1109/ICISIM.2017.8122193","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122193","url":null,"abstract":"Traffic crisis often happen because of traffic burden by the large number automobiles on the path. Increasing transportation move and decreasing the average waiting time of each vehicle are the aims of cooperative intelligent traffic control system. Each signal wishes to catch better travel move. During the course, signals form a strategy of cooperation in addition to restriction for neighboring signals to exploit their individual benefit. A superior traffic signal scheduling strategy is used to resolve the difficulty. The several parameters may influence the traffic control model. So it is hard to learn the best possible result. Traffic light controllers are not expert to study from previous results. Due to this, they are unable to include the uncertain transformation of traffic flow. Reinforcement learning algorithm based traffic control model used to get fine timing rules by properly defining real-time parameters of the real traffic scenario. The projected real-time traffic control optimization prototype is able to continue with the traffic signal scheduling rules successfully. The model expands traffic value of the vehicle, which consists of delay time, the number of vehicles stopped at a signal, and the newly arriving vehicles to learn and set up the optimal actions. The experimentation outcome illustrates a major enhancement in traffic control, demonstrating the projected model is competent of making possible real-time dynamic traffic control.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127781270","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 : 2017-10-01DOI: 10.1109/ICISIM.2017.8122165
T. Patil, G. Pole
In semi administered bunching is one of the vital errands and goes for gathering the information objects into classes (groups) to such an extent that the similitude of items inside bunches is high and the comparability of articles between bunches is Less. The dataset once in a while might be in blended nature that is it might comprise of both numeric and unmitigated sort of information. So two types of different data with characteristics. Due to the different in their qualities keeping in mind the end goal to gather these sorts of information it is ideal to utilize the troupe grouping strategy which utilizes divide and combine way to deal with take care of this issue. In this paper the different dataset is divide into numeric and categorical data set and clustered using both traditional and fuzzy logic algorithms. The output is combined with ensemble clustering and evaluated by both f-measure and entropy measure. It is found that using fuzzy clustering algorithms gives better results.
{"title":"An efficient supervised clustering using fuzzy logic","authors":"T. Patil, G. Pole","doi":"10.1109/ICISIM.2017.8122165","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122165","url":null,"abstract":"In semi administered bunching is one of the vital errands and goes for gathering the information objects into classes (groups) to such an extent that the similitude of items inside bunches is high and the comparability of articles between bunches is Less. The dataset once in a while might be in blended nature that is it might comprise of both numeric and unmitigated sort of information. So two types of different data with characteristics. Due to the different in their qualities keeping in mind the end goal to gather these sorts of information it is ideal to utilize the troupe grouping strategy which utilizes divide and combine way to deal with take care of this issue. In this paper the different dataset is divide into numeric and categorical data set and clustered using both traditional and fuzzy logic algorithms. The output is combined with ensemble clustering and evaluated by both f-measure and entropy measure. It is found that using fuzzy clustering algorithms gives better results.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128145859","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 : 2017-10-01DOI: 10.1109/ICISIM.2017.8122183
V. Gaikwad, Komal S. Gandle
Data storage in cloud should come along with high safety and confidentiality. It is accountability of cloud service provider to guarantee the availability and security of client data. There exist various alternatives for storage services but confidentiality and complexity solutions for database as a service are still not satisfactory. Proposed system gives alternative solution for database as a service that integrates benefits of different services along with advance encryption techniques. It yields possibility of applying concurrency on encrypted data. This alternative provides supporting facility to connect dispersed clients with elimination of intermediate proxy by which simplicity can acquired. Performance of proposed system evaluated on basis of theoretical analyses.
{"title":"Ideal complexity cryptosystem with high privacy data service for cloud databases","authors":"V. Gaikwad, Komal S. Gandle","doi":"10.1109/ICISIM.2017.8122183","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122183","url":null,"abstract":"Data storage in cloud should come along with high safety and confidentiality. It is accountability of cloud service provider to guarantee the availability and security of client data. There exist various alternatives for storage services but confidentiality and complexity solutions for database as a service are still not satisfactory. Proposed system gives alternative solution for database as a service that integrates benefits of different services along with advance encryption techniques. It yields possibility of applying concurrency on encrypted data. This alternative provides supporting facility to connect dispersed clients with elimination of intermediate proxy by which simplicity can acquired. Performance of proposed system evaluated on basis of theoretical analyses.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"115 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121244527","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 : 2017-10-01DOI: 10.1109/ICISIM.2017.8122163
M. Likhar, S. Kasar
The analysis of feeling is used to define the attitude of a writer in relation to a subject or the appropriate global polarity of a document. The proposed work is to provide a platform in order to visualize the relative analysis of feedback for some particular product. In doing so, instead of the basic truthful information, the analysis will be done based on comments and comments developed from various sources. In this approach, the analysis of feeling at the document level will be carried out taking into account all aspects in the same way using natural language processing techniques. The present unsupervised method is used for sentence minimization that relies on a Stanford-type dependency for extracting information elements and compressed sentences are generated via a Natural language generation engine (NLG). An automatic evaluation of the same is done and F-scores of about 87.51 is achieved.
{"title":"Sentiment analysis using sentence minimization with natural language generation (NLG)","authors":"M. Likhar, S. Kasar","doi":"10.1109/ICISIM.2017.8122163","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122163","url":null,"abstract":"The analysis of feeling is used to define the attitude of a writer in relation to a subject or the appropriate global polarity of a document. The proposed work is to provide a platform in order to visualize the relative analysis of feedback for some particular product. In doing so, instead of the basic truthful information, the analysis will be done based on comments and comments developed from various sources. In this approach, the analysis of feeling at the document level will be carried out taking into account all aspects in the same way using natural language processing techniques. The present unsupervised method is used for sentence minimization that relies on a Stanford-type dependency for extracting information elements and compressed sentences are generated via a Natural language generation engine (NLG). An automatic evaluation of the same is done and F-scores of about 87.51 is achieved.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"12 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130868563","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 : 2017-10-01DOI: 10.1109/ICISIM.2017.8122159
A. Gaikwad, V. Musande
Fingerprint is an important evidence in criminal investigation process. It is considered as the most reliable biometric measure in forensic sciences. Many studies have been proposed in the subject of fingerprint image enhancement but most of them either worked on point based operations or local neighborhood operations. This paper presents an efficient fingerprint enhancement approach by combining the point and local operations. Point based adaptive histogram equalization method along with local neighborhood based median filter method improves the overall quality of fingerprint by removing noise from image and preserves its information content in better way than individual point or local operations. The image entropy is used as an objective assessment method for the analysis of quality of fingerprint image.
{"title":"Point and local neighborhood operations fusion for efficient fingerprint enhancement","authors":"A. Gaikwad, V. Musande","doi":"10.1109/ICISIM.2017.8122159","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122159","url":null,"abstract":"Fingerprint is an important evidence in criminal investigation process. It is considered as the most reliable biometric measure in forensic sciences. Many studies have been proposed in the subject of fingerprint image enhancement but most of them either worked on point based operations or local neighborhood operations. This paper presents an efficient fingerprint enhancement approach by combining the point and local operations. Point based adaptive histogram equalization method along with local neighborhood based median filter method improves the overall quality of fingerprint by removing noise from image and preserves its information content in better way than individual point or local operations. The image entropy is used as an objective assessment method for the analysis of quality of fingerprint image.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128882857","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 : 2017-10-01DOI: 10.1109/ICISIM.2017.8122191
D. Lokhande, S. Mohsin
This paper demonstrates a low down rate controlling system using an embedded micro-web server, with IP connectivity for accessing home appliances remotely using android based smart phone applications. The planned system does not involve any PC server and recommends a communication protocol to direct home environment with more than just switching functionality. To reveal the achievability of this system, devices such as light switches and power plug have been incorporated with proposed home control system. Internet of things is nothing but involving on a daily basis things such as handset, television, antennas, tablets and actuator to internet everywhere the appliances are smartly coupled mutually permitting latest structure of communication among objects and public. We have also done the analysis of routing protocols for best connectivity of internet. Two routing protocols are used for the performance analysis such as AODV and DSR.
{"title":"Internet of things for ubiquitous smart home system","authors":"D. Lokhande, S. Mohsin","doi":"10.1109/ICISIM.2017.8122191","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122191","url":null,"abstract":"This paper demonstrates a low down rate controlling system using an embedded micro-web server, with IP connectivity for accessing home appliances remotely using android based smart phone applications. The planned system does not involve any PC server and recommends a communication protocol to direct home environment with more than just switching functionality. To reveal the achievability of this system, devices such as light switches and power plug have been incorporated with proposed home control system. Internet of things is nothing but involving on a daily basis things such as handset, television, antennas, tablets and actuator to internet everywhere the appliances are smartly coupled mutually permitting latest structure of communication among objects and public. We have also done the analysis of routing protocols for best connectivity of internet. Two routing protocols are used for the performance analysis such as AODV and DSR.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122857610","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 : 2017-10-01DOI: 10.1109/ICISIM.2017.8122164
S. Giraddi, J. Pujari, P. Hiremath
The optic disc (OD) segmentation in an retinal image is prerequisite for an computerized detection of diabetic retinopathy and also for monitoring changes due to diseases such as glaucoma. The OD segmentation is also used for the detection of other anatomical structures like fovea and vascular tree. Many algorithms based on thresholding, active contour model, GVF snake and clustering have been proposed for the segmentation of OD. In this study, a novel method is proposed for optic disc segmentation. The method makes use of P-Tile thresholding for detecting patch of OD. Connected component analysis is performed for eliminating false positives. This step yields initial patch of optic disc for which centroid correction is performed. GVF snake model is used for finding the contour of OD. The method is robust and effective even in the low contrast images as well as in the presence of other pathological structures like exudates. The experimentation has been done using benchmark retinal image databases, namely, diaretdb0, diaretdb1, DRIVE. The results show accuracy of 98% with diaretdb0, 97% with diaretdb1 and 100% with DRIVE.
{"title":"Optic disc detection using geometric properties and GVF snake","authors":"S. Giraddi, J. Pujari, P. Hiremath","doi":"10.1109/ICISIM.2017.8122164","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122164","url":null,"abstract":"The optic disc (OD) segmentation in an retinal image is prerequisite for an computerized detection of diabetic retinopathy and also for monitoring changes due to diseases such as glaucoma. The OD segmentation is also used for the detection of other anatomical structures like fovea and vascular tree. Many algorithms based on thresholding, active contour model, GVF snake and clustering have been proposed for the segmentation of OD. In this study, a novel method is proposed for optic disc segmentation. The method makes use of P-Tile thresholding for detecting patch of OD. Connected component analysis is performed for eliminating false positives. This step yields initial patch of optic disc for which centroid correction is performed. GVF snake model is used for finding the contour of OD. The method is robust and effective even in the low contrast images as well as in the presence of other pathological structures like exudates. The experimentation has been done using benchmark retinal image databases, namely, diaretdb0, diaretdb1, DRIVE. The results show accuracy of 98% with diaretdb0, 97% with diaretdb1 and 100% with DRIVE.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132828003","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 : 2017-10-01DOI: 10.1109/ICISIM.2017.8122145
Vaishali R. Lokhande, B. Gawali
The richest information about different emotional states and thinking styles of the person is carried by signature The signature analysis is one of the most effective and reliable indicator for prediction of personality. As it reveals the true personality which includes fears, honesty and many other individual personality traits. This can happen with the help of few features like underscores below signature, appearance of dot on the letter, curved start, ending stroke, and streaks disconnected. This paper is focused on above mentioned features. The database has 60 signatures of 10 different persons with 6 samples of each and is properly scanned at 500dpi resolution scanner. The performance is evaluated by splitting a signature into five categories-left, right, upper, middle and bottom. An artificial neural network and structural identification algorithm is used for the prediction of personality and the obtained accuracy rate is 100%, 95%, 94%, 96% and 92% respectively The significance of work is to reveal personality traits in criminology, medical science and counseling.
{"title":"Analysis of signature for the prediction of personality traits","authors":"Vaishali R. Lokhande, B. Gawali","doi":"10.1109/ICISIM.2017.8122145","DOIUrl":"https://doi.org/10.1109/ICISIM.2017.8122145","url":null,"abstract":"The richest information about different emotional states and thinking styles of the person is carried by signature The signature analysis is one of the most effective and reliable indicator for prediction of personality. As it reveals the true personality which includes fears, honesty and many other individual personality traits. This can happen with the help of few features like underscores below signature, appearance of dot on the letter, curved start, ending stroke, and streaks disconnected. This paper is focused on above mentioned features. The database has 60 signatures of 10 different persons with 6 samples of each and is properly scanned at 500dpi resolution scanner. The performance is evaluated by splitting a signature into five categories-left, right, upper, middle and bottom. An artificial neural network and structural identification algorithm is used for the prediction of personality and the obtained accuracy rate is 100%, 95%, 94%, 96% and 92% respectively The significance of work is to reveal personality traits in criminology, medical science and counseling.","PeriodicalId":139000,"journal":{"name":"2017 1st International Conference on Intelligent Systems and Information Management (ICISIM)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132128554","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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