Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/4566
Title: Toe prints: An application study for biometric verification in adults
Authors: Baghel, Vivek Singh
Prakash, Surya
Keywords: Biometrics;Application studies;Biometric recognition system;Biometric traits;Biometric verification;Equal error rate;Fingerprint verification;Performance;Physiological biometrics;Physiological trait;Verification systems;Physiology
Issue Date: 2021
Publisher: IEEE Computer Society
Citation: Ali, S. S., Singh Baghel, V., Ganapathi, I. I., Prakash, S., Vu, N. -., & Werghi, N. (2021). Toe prints: An application study for biometric verification in adults. Paper presented at the IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops, 1418-1424. doi:10.1109/CVPRW53098.2021.00157
Abstract: Biometric recognition systems provide an easy way to verify an individual's identity through physiological and behavioral biometric traits, due to the persistence of these traits. The physiological traits are extensively utilized to secure the applications of numerous fields. Among these, toe print is one of the physiological traits that has been discussed and evaluated for the children; however, it has not been addressed in the past as this can also be utilized to verify the identity of an adult, especially for a person with different abilities. In this paper, we have come up with a feasibility study of toe prints while comparing them with the impression of a person's different fingers in terms of the overall performance of a biometric verification system. To accomplish this task, the toe print database is collected from different persons of age varying from 17 years to 64 years, which is the first database of its kind and is made available in public domain. Fingerprint impressions are also collected along with the toe print to compare the reliability of the toe print with respect to performance using a standard fingerprint verification tool. Verifinger trial version has been utilized by considering the two standard fingerprint verification protocols viz. 1-vs-1 and FVC to assess the performance of the toe print verification system in terms of the equal error rate (EER). The toe print verification system attains 0.04% and 0.01% EER values for 1-vs-1 and FVC protocol, respectively, which clearly depicts the feasibility of toe print as a potential biometric trait. © 2021 IEEE.
URI: https://doi.org/10.1109/CVPRW53098.2021.00157
https://dspace.iiti.ac.in/handle/123456789/4566
ISBN: 9781665448994
ISSN: 2160-7508
Type of Material: Conference Paper
Appears in Collections:Department of Computer Science and Engineering

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