Deformable multi-scale scheme for biometric personal identification

Human identification has now been a social liability due to frequent terror threats and corrupt bureaucratic practices, especially in rural countries like India. It has been surprisingly observed that fingerprint quality is poor as compared with finger knuckle quality of rural users as they exist on...

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Main Authors: Jaswal, Gaurav, Nath, Ravinder, Nigam, Aditya
Format: Conference Proceeding
Language:English
Subjects:
Correlation
Image edge detection
Indexes
Kernel
Ray tracing
Refractive index
Transforms
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Nath, Ravinder
Nigam, Aditya
description Human identification has now been a social liability due to frequent terror threats and corrupt bureaucratic practices, especially in rural countries like India. It has been surprisingly observed that fingerprint quality is poor as compared with finger knuckle quality of rural users as they exist on the outer hand side. In this paper, we are proposing a novel finger-knuckle-print based identification system. Initially, finger knuckle image is pre-processed using proposed local and adaptive image transformations. Then, finger knuckle image matching has been performed using multi-scale Deep-Matching technique. Finally, score level fusion rule has been employed to achieve competitive performance over public FKP database.
doi_str_mv 10.1109/ICIP.2017.8296944
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source IEEE Xplore All Conference Series
subjects Correlation
Image edge detection
Indexes
Kernel
Ray tracing
Refractive index
Transforms
title Deformable multi-scale scheme for biometric personal identification
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