Pub Date : 2015-09-01DOI: 10.1109/IWSSIP.2015.7314204
S. Bouteldja, Assia Kourgli
With the steadily expanding demand for remote sensing images, many satellites have been launched, and thousands of high resolution satellite images (HRSI) are acquired every day. Therefore, retrieving useful images quickly and accurately from a huge image database has become a challenge. In this paper, we propose an adaptive content-based image retrieval (CBIR) system for the retrieval of HRSI on the basis of Steerable Pyramids using RGB and CIElab color systems. The texture feature vectors are extracted by calculating the statistical measures of decomposed image sub-bands. To improve the performances of our CBIR scheme, the system rotation and scale invariance is enhanced by introducing a circular shifting of the feature vector elements according to each scale. Extensive experiments were conducted firstly using 8 image classes from land-use/land-cover (LULC) UCMerced dataset. Obtained results are compared with color Gabor opponent texture features. The system was then extended to work on the whole dataset consisting of 21 image classes, and compared with results obtained from SIFT descriptor. The tests and evaluation measures demonstrate that the proposed system gives a good performance in terms of high precision.
{"title":"Multiscale texture features for the retrieval of high resolution satellite images","authors":"S. Bouteldja, Assia Kourgli","doi":"10.1109/IWSSIP.2015.7314204","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314204","url":null,"abstract":"With the steadily expanding demand for remote sensing images, many satellites have been launched, and thousands of high resolution satellite images (HRSI) are acquired every day. Therefore, retrieving useful images quickly and accurately from a huge image database has become a challenge. In this paper, we propose an adaptive content-based image retrieval (CBIR) system for the retrieval of HRSI on the basis of Steerable Pyramids using RGB and CIElab color systems. The texture feature vectors are extracted by calculating the statistical measures of decomposed image sub-bands. To improve the performances of our CBIR scheme, the system rotation and scale invariance is enhanced by introducing a circular shifting of the feature vector elements according to each scale. Extensive experiments were conducted firstly using 8 image classes from land-use/land-cover (LULC) UCMerced dataset. Obtained results are compared with color Gabor opponent texture features. The system was then extended to work on the whole dataset consisting of 21 image classes, and compared with results obtained from SIFT descriptor. The tests and evaluation measures demonstrate that the proposed system gives a good performance in terms of high precision.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127740912","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 : 2015-09-01DOI: 10.1109/IWSSIP.2015.7314222
Carlos B. Fiallos, María G. Pérez, A. Conci, V. Andaluz
Breast cancer is the most common cancer and the second cause of cancer death among women. Early detection is the key to reducing the associated mortality rate, for this identify the presence of microcalcifications is very important. This paper presents an approach for micro calcification detection in mammography based on the following steps: noise reduction, image segmentation, extraction of the region of interest (ROI) and features that describe the possible asymmetries between the ROI of both breasts. The new aspect of our work is how we detect the microcalcifications by using wavelet decomposition. All decompositions were conducted using orthogonal wavelet filter set to computes the four filters associated with the scaling filter corresponding to a wavelet: low-pass filter and high-pass filter. Several mother families have been tested and we are confident to recommend the coiflets as the best one.
{"title":"Automatic detection of injuries in mammograms using image analysis techniques","authors":"Carlos B. Fiallos, María G. Pérez, A. Conci, V. Andaluz","doi":"10.1109/IWSSIP.2015.7314222","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314222","url":null,"abstract":"Breast cancer is the most common cancer and the second cause of cancer death among women. Early detection is the key to reducing the associated mortality rate, for this identify the presence of microcalcifications is very important. This paper presents an approach for micro calcification detection in mammography based on the following steps: noise reduction, image segmentation, extraction of the region of interest (ROI) and features that describe the possible asymmetries between the ROI of both breasts. The new aspect of our work is how we detect the microcalcifications by using wavelet decomposition. All decompositions were conducted using orthogonal wavelet filter set to computes the four filters associated with the scaling filter corresponding to a wavelet: low-pass filter and high-pass filter. Several mother families have been tested and we are confident to recommend the coiflets as the best one.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124773945","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 : 2015-09-01DOI: 10.1109/IWSSIP.2015.7314216
D. Lekomtcev, R. Maršálek, Martin Pospísil, T. Kratochvil
This paper investigates the evaluation of a spectrum sensing technique from the point of view of detection degradation caused by the real receiver front-end imperfections. Two spectrum sensing detectors (energy detector and goodness of fit - based detector) have been tested with various modulation formats for four different types of front-ends in form of daughter-boards for widely used radio device USRP. After analysis of front-end architectures and their noise parameters, the real detection performance has been confirmed by the real experimental measurements and receiver operational characteristics evaluation.
{"title":"Experimental evaluation of the impact of receiver front-end on spectrum sensing","authors":"D. Lekomtcev, R. Maršálek, Martin Pospísil, T. Kratochvil","doi":"10.1109/IWSSIP.2015.7314216","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314216","url":null,"abstract":"This paper investigates the evaluation of a spectrum sensing technique from the point of view of detection degradation caused by the real receiver front-end imperfections. Two spectrum sensing detectors (energy detector and goodness of fit - based detector) have been tested with various modulation formats for four different types of front-ends in form of daughter-boards for widely used radio device USRP. After analysis of front-end architectures and their noise parameters, the real detection performance has been confirmed by the real experimental measurements and receiver operational characteristics evaluation.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130721738","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 : 2015-09-01DOI: 10.1109/IWSSIP.2015.7314183
Ivan Zupancic, Saverio G. Blasi, E. Izquierdo
Thanks to technological advances in devices for video signal capturing and displaying, the usage of large resolution video formats is becoming more and more popular in consumer and professional applications. The new Ultra High Definition (UHD) format aims to provide enhanced viewing experience with its spatial resolution of at least 3840 × 2160 luma samples per frame and temporal resolution of up to 120 frames per second. Such a large amount of raw data requires extremely high levels of compression efficiency. The latest state-of-the-art High Efficiency Video Coding (HEVC) standard was developed also to respond to these needs. HEVC outperforms previous video coding standards in terms of coding efficiency, especially while encoding high resolution video content. However, this comes at very high computational costs, making current HEVC encoder implementations of very limited usage. In this paper, a fast inter-prediction scheme is proposed targeting fast mode decision based on reverse Coding Unit (CU) visiting order, and early termination of both the integer- and fractional-pel motion estimation processes. Experimental results show that the proposed algorithm achieves on average 72.9% time savings, for limited coding losses.
{"title":"Inter-prediction optimisations for fast HEVC encoding of ultra high definition content","authors":"Ivan Zupancic, Saverio G. Blasi, E. Izquierdo","doi":"10.1109/IWSSIP.2015.7314183","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314183","url":null,"abstract":"Thanks to technological advances in devices for video signal capturing and displaying, the usage of large resolution video formats is becoming more and more popular in consumer and professional applications. The new Ultra High Definition (UHD) format aims to provide enhanced viewing experience with its spatial resolution of at least 3840 × 2160 luma samples per frame and temporal resolution of up to 120 frames per second. Such a large amount of raw data requires extremely high levels of compression efficiency. The latest state-of-the-art High Efficiency Video Coding (HEVC) standard was developed also to respond to these needs. HEVC outperforms previous video coding standards in terms of coding efficiency, especially while encoding high resolution video content. However, this comes at very high computational costs, making current HEVC encoder implementations of very limited usage. In this paper, a fast inter-prediction scheme is proposed targeting fast mode decision based on reverse Coding Unit (CU) visiting order, and early termination of both the integer- and fractional-pel motion estimation processes. Experimental results show that the proposed algorithm achieves on average 72.9% time savings, for limited coding losses.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"206 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114302933","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 : 2015-09-01DOI: 10.1109/IWSSIP.2015.7314198
Yusuke Kameda, Jun Takeichi, Masaki Ishibashi, I. Matsuda, S. Itoh
This paper proposes a method to improve the prediction accuracy of motion compensation (MC) in video coding using block-wise and pixel-wise motion with little additional information. In general MC, block-wise motion vectors (MVs) are computed by block matching (BM), but these are not always suitable for motions such as local scaling and deformation. To improve the accuracy of such motions, the proposed method estimates the pixel-wise motion precisely from two decoded frames with little additional information, and extrapolates the frame to be encoded using the pixel-wise motion and an interpolation method. This is first-stage MC. In second-stage MC, the encoder adaptively chooses the extrapolated or previous frames as a reference frame for each MC block. The block-wise MVs are then computed using BM to prevent loss of accuracy. Experimental results show that the proposed method outperforms BM for local scaling and deformation motions.
{"title":"Two stage inter-frame prediction using pixel- and block-wise motion compensation","authors":"Yusuke Kameda, Jun Takeichi, Masaki Ishibashi, I. Matsuda, S. Itoh","doi":"10.1109/IWSSIP.2015.7314198","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314198","url":null,"abstract":"This paper proposes a method to improve the prediction accuracy of motion compensation (MC) in video coding using block-wise and pixel-wise motion with little additional information. In general MC, block-wise motion vectors (MVs) are computed by block matching (BM), but these are not always suitable for motions such as local scaling and deformation. To improve the accuracy of such motions, the proposed method estimates the pixel-wise motion precisely from two decoded frames with little additional information, and extrapolates the frame to be encoded using the pixel-wise motion and an interpolation method. This is first-stage MC. In second-stage MC, the encoder adaptively chooses the extrapolated or previous frames as a reference frame for each MC block. The block-wise MVs are then computed using BM to prevent loss of accuracy. Experimental results show that the proposed method outperforms BM for local scaling and deformation motions.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"11 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130163726","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 : 2015-09-01DOI: 10.1109/IWSSIP.2015.7314208
Marek Lóderer, J. Pavlovičová, M. Oravec, J. Mazanec
Identification of the crucial face parts for feature extraction plays an important role in face recognition with respect to recognition accuracy and data complexity. The significance of face image blocks was analyzed in LBP (Local Binary Pattern) feature space. To optimize the face parts selection we applied simulated annealing. Proposed approach was tested on standard FERET database. The same optimization approach was applied to the facial expression recognition and tested on JAFFE database. In some cases asymmetrical selection of important image blocks was found to be better than symmetrical selection. The proposed methodology is not limited to LBP but it is applicable to any type of feature space.
{"title":"Face parts importance in face and expression recognition","authors":"Marek Lóderer, J. Pavlovičová, M. Oravec, J. Mazanec","doi":"10.1109/IWSSIP.2015.7314208","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314208","url":null,"abstract":"Identification of the crucial face parts for feature extraction plays an important role in face recognition with respect to recognition accuracy and data complexity. The significance of face image blocks was analyzed in LBP (Local Binary Pattern) feature space. To optimize the face parts selection we applied simulated annealing. Proposed approach was tested on standard FERET database. The same optimization approach was applied to the facial expression recognition and tested on JAFFE database. In some cases asymmetrical selection of important image blocks was found to be better than symmetrical selection. The proposed methodology is not limited to LBP but it is applicable to any type of feature space.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"18 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124393376","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 : 2015-09-01DOI: 10.1109/IWSSIP.2015.7314229
A. Miron, A. Badii
In this paper we propose a moving object detection system based on Graph Cut. Our method relies on motion modelling using an optical flow algorithm and a classical background subtraction module based on Mixture of Gaussians. The main contribution in our approach is the fusion of the two mask models, as well as the particular cost function used by the Graph Cut algorithm. The experiments as performed on CDnet 2014 benchmark showed that our system has very good results in scenarios such as Bad Weather or PTZ, but is less robust in detecting small changes in the scene.
{"title":"Change detection based on graph cuts","authors":"A. Miron, A. Badii","doi":"10.1109/IWSSIP.2015.7314229","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314229","url":null,"abstract":"In this paper we propose a moving object detection system based on Graph Cut. Our method relies on motion modelling using an optical flow algorithm and a classical background subtraction module based on Mixture of Gaussians. The main contribution in our approach is the fusion of the two mask models, as well as the particular cost function used by the Graph Cut algorithm. The experiments as performed on CDnet 2014 benchmark showed that our system has very good results in scenarios such as Bad Weather or PTZ, but is less robust in detecting small changes in the scene.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"126 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127397642","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 : 2015-09-01DOI: 10.1109/IWSSIP.2015.7314203
Shoaib Ehsan, A. Clark, Bruno Ferrarini, N. Rehman, K. Mcdonald-Maier
Since local feature detection has been one of the most active research areas in computer vision, a large number of detectors have been proposed. This has rendered the task of characterizing the performance of various feature detection methods an important issue in vision research. Inspired by the good practices of electronic system design, a generic framework based on the improved repeatability measure is presented in this paper that allows assessment of the upper and lower bounds of detector performance in an effort to design more reliable and effective vision systems. This framework is then employed to establish operating and guarantee regions for several state-of-the art detectors for JPEG compression and uniform light changes. The results are obtained using a newly acquired, large image database (15092 images) with 539 different scenes. These results provide new insights into the behavior of detectors and are also useful from the vision systems design perspective.
{"title":"Assessing the performance bounds of local feature detectors: Taking inspiration from electronics design practices","authors":"Shoaib Ehsan, A. Clark, Bruno Ferrarini, N. Rehman, K. Mcdonald-Maier","doi":"10.1109/IWSSIP.2015.7314203","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314203","url":null,"abstract":"Since local feature detection has been one of the most active research areas in computer vision, a large number of detectors have been proposed. This has rendered the task of characterizing the performance of various feature detection methods an important issue in vision research. Inspired by the good practices of electronic system design, a generic framework based on the improved repeatability measure is presented in this paper that allows assessment of the upper and lower bounds of detector performance in an effort to design more reliable and effective vision systems. This framework is then employed to establish operating and guarantee regions for several state-of-the art detectors for JPEG compression and uniform light changes. The results are obtained using a newly acquired, large image database (15092 images) with 539 different scenes. These results provide new insights into the behavior of detectors and are also useful from the vision systems design perspective.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133218620","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 : 2015-09-01DOI: 10.1109/IWSSIP.2015.7314207
M. E. Plissiti, Michalis Vrigkas, Christophoros Nikou
The automated interpretation of Pap smear images is a challenging issue with several aspects. The accurate segmentation of the structuring elements of each cell is a crucial procedure which entails in the correct identification of pathological situations. However, the extended cell overlapping in Pap smear slides complicates the automated analysis of these cytological images. In this work, we propose an efficient algorithm for the separation of the cytoplasm area of overlapping cells. The proposed method is based on the fact that in isolated cells the pixels of the cytoplasm exhibit similar features and the cytoplasm area is homogeneous. Thus, the observation of intensity changes in extended subareas of the cytoplasm indicates the existence of overlapping cells. In the first step of the proposed method, the image is tesselated into perceptually meaningful individual regions using a superpixel algorithm. In a second step, these areas are merged into regions exhibiting the same characteristics, resulting in the identification of each cytoplasm area and the corresponding nuclei. The area of overlap is then detected using an algorithm that specifies faint changes in the intensity of the cytoplasm of each cell. The method has been evaluated on cytological images of conventional Pap smears, and the results are very promising.
{"title":"Segmentation of cell clusters in Pap smear images using intensity variation between superpixels","authors":"M. E. Plissiti, Michalis Vrigkas, Christophoros Nikou","doi":"10.1109/IWSSIP.2015.7314207","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314207","url":null,"abstract":"The automated interpretation of Pap smear images is a challenging issue with several aspects. The accurate segmentation of the structuring elements of each cell is a crucial procedure which entails in the correct identification of pathological situations. However, the extended cell overlapping in Pap smear slides complicates the automated analysis of these cytological images. In this work, we propose an efficient algorithm for the separation of the cytoplasm area of overlapping cells. The proposed method is based on the fact that in isolated cells the pixels of the cytoplasm exhibit similar features and the cytoplasm area is homogeneous. Thus, the observation of intensity changes in extended subareas of the cytoplasm indicates the existence of overlapping cells. In the first step of the proposed method, the image is tesselated into perceptually meaningful individual regions using a superpixel algorithm. In a second step, these areas are merged into regions exhibiting the same characteristics, resulting in the identification of each cytoplasm area and the corresponding nuclei. The area of overlap is then detected using an algorithm that specifies faint changes in the intensity of the cytoplasm of each cell. The method has been evaluated on cytological images of conventional Pap smears, and the results are very promising.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124294182","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 : 2015-09-01DOI: 10.1109/IWSSIP.2015.7314193
E. Maiorana, Daria La Rocca, P. Campisi
In this paper we propose several cryptosystems for the protection of templates extracted from cognitive biometrics. The proposed architectures exploit different possibilities for combining the information made continuously available during the recognition phase. Specifically, we focus on electroencephalog-raphy (EEG) signals as considered biometrics. Brain waves are in fact one of the most emerging cognitive modalities to be used for people recognition. An extensive set of experimental tests, performed on a large database comprising recordings taken from 40 healthy subjects during two separate recording sessions, is carried out to evaluate the recognition rates and security levels achievable with several system configurations.
{"title":"Cognitive biometric cryptosystems a case study on EEG","authors":"E. Maiorana, Daria La Rocca, P. Campisi","doi":"10.1109/IWSSIP.2015.7314193","DOIUrl":"https://doi.org/10.1109/IWSSIP.2015.7314193","url":null,"abstract":"In this paper we propose several cryptosystems for the protection of templates extracted from cognitive biometrics. The proposed architectures exploit different possibilities for combining the information made continuously available during the recognition phase. Specifically, we focus on electroencephalog-raphy (EEG) signals as considered biometrics. Brain waves are in fact one of the most emerging cognitive modalities to be used for people recognition. An extensive set of experimental tests, performed on a large database comprising recordings taken from 40 healthy subjects during two separate recording sessions, is carried out to evaluate the recognition rates and security levels achievable with several system configurations.","PeriodicalId":249021,"journal":{"name":"2015 International Conference on Systems, Signals and Image Processing (IWSSIP)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125245524","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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