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What can a single minutia tell about gender?

Terhorst, Philipp and Damer, Naser and Braun, Andreas and Kuijper, Arjan (2018):
What can a single minutia tell about gender?
In: 2018 International Workshop on Biometrics and Forensics (IWBF), Los Alamitos, IEEE, In: International Workshop on Biometrics and Forensics (IWBF), Sassari, Italy, 2018, DOI: 10.1109/IWBF.2018.8401554,
[Online-Edition: https://doi.org/10.1109/IWBF.2018.8401554],
[Conference or Workshop Item]

Abstract

Since fingerprints are one of the most widely deployed biometrics, several applications can benefit from an accurate fingerprint gender estimation. Previous work mainly tackled the task of gender estimation based on complete fingerprints. However, partial fingerprint captures are frequently occurring in many applications including forensics and consumer electronics, with the considered ratio of the fingerprint is variable. Therefore, this work investigates gender estimation on a small, detectable, and well-defined partition of a fingerprint. It investigates gender estimation on the level of a single minutia. Working on this level, we propose a feature extraction process that is able to deal with the rotation and translation invariance problems of fingerprints. This is evaluated on a publicly available database and with five different binary classifiers. As a result, the information of a single minutia achieves a comparable accuracy on the gender classification task as previous work using quarters of aligned fingerprints with an average of more than 25 minutiae.

Item Type: Conference or Workshop Item
Erschienen: 2018
Creators: Terhorst, Philipp and Damer, Naser and Braun, Andreas and Kuijper, Arjan
Title: What can a single minutia tell about gender?
Language: English
Abstract:

Since fingerprints are one of the most widely deployed biometrics, several applications can benefit from an accurate fingerprint gender estimation. Previous work mainly tackled the task of gender estimation based on complete fingerprints. However, partial fingerprint captures are frequently occurring in many applications including forensics and consumer electronics, with the considered ratio of the fingerprint is variable. Therefore, this work investigates gender estimation on a small, detectable, and well-defined partition of a fingerprint. It investigates gender estimation on the level of a single minutia. Working on this level, we propose a feature extraction process that is able to deal with the rotation and translation invariance problems of fingerprints. This is evaluated on a publicly available database and with five different binary classifiers. As a result, the information of a single minutia achieves a comparable accuracy on the gender classification task as previous work using quarters of aligned fingerprints with an average of more than 25 minutiae.

Title of Book: 2018 International Workshop on Biometrics and Forensics (IWBF)
Place of Publication: Los Alamitos
Publisher: IEEE
Uncontrolled Keywords: Biometrics, Image classification, Object class detection
Divisions: 20 Department of Computer Science
20 Department of Computer Science > Mathematical and Applied Visual Computing
Event Title: International Workshop on Biometrics and Forensics (IWBF)
Event Location: Sassari, Italy
Event Dates: 2018
Date Deposited: 10 Jul 2019 12:12
DOI: 10.1109/IWBF.2018.8401554
Official URL: https://doi.org/10.1109/IWBF.2018.8401554
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