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Contactless multiple finger Segments based Identity verification using information fusion from higher order spectral invariants

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dc.contributor.author Akmal-Jahan, M. A. C.
dc.contributor.author Kien, Nguyen
dc.contributor.author Jasmine, Banks
dc.contributor.author Vinod, Chandran
dc.date.accessioned 2022-09-28T10:30:49Z
dc.date.available 2022-09-28T10:30:49Z
dc.date.issued 2018-11
dc.identifier.citation 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) on 27-30 November 2018, Auckland, New Zealand. pp. 1-6. en_US
dc.identifier.isbn 978-1-5386-9295-0
dc.identifier.uri https://www.researchgate.net/publication/331108784
dc.identifier.uri http://ir.lib.seu.ac.lk/handle/123456789/6255
dc.identifier.uri https://doi.org/10.1109/AVSS.2018.8639153
dc.description.abstract A methodology for identity verification from contactless finger images using ridge orientation profiles and spectral invariant features is extended to use fusion at data, feature levels, and a combination of both levels using multiple finger segments. Performance is evaluated on 1341 images (selected 24 Megapixel video frames obtained with the finger-to-camera distance between 12 and 20cms, reduced to finger regions of about 1250 x 3000 pixels) from 41 individuals of different ethnicities. Features are extracted from profiles along key lines between landmarks that facilitate segmentation. The methodology is designed by means of the segmentation procedure, the invariant features, and fusion techniques to be robust to geometric and photometric transformations and partial occlusion. Feature fusion, data fusion, and a combination of the two are tested. The methodology yields around 5% EER with a combination of data and feature fusion providing the best performance. It can be applied to soft, on-the-move biometric systems. en_US
dc.language.iso en_US en_US
dc.publisher Institute of Electrical and Electronics Engineers (IEEE) en_US
dc.subject Feature Extraction en_US
dc.subject Image Segmentation en_US
dc.subject Image Resolution en_US
dc.subject Transforms en_US
dc.subject Fingers en_US
dc.subject Cameras en_US
dc.subject Encoding en_US
dc.title Contactless multiple finger Segments based Identity verification using information fusion from higher order spectral invariants en_US
dc.type Article en_US


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  • Research Articles [915]
    THESE ARE RESEARCH ARTICLES OF ACADEMIC STAFF, PUBLISHED IN JOURNALS AND PROCEEDINGS ELSWHERE

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