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A Contactless Fingerprint Verification Method using a Minutiae Matching Technique

A Contactless Fingerprint Verification Method using a Minutiae Matching Technique

Tahirou Djara, Marc Kokou Assogba, Antoine Vianou
Copyright: © 2016 |Volume: 6 |Issue: 1 |Pages: 16
ISSN: 2155-6997|EISSN: 2155-6989|EISBN13: 9781466692565|DOI: 10.4018/IJCVIP.2016010102
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MLA

Djara, Tahirou, et al. "A Contactless Fingerprint Verification Method using a Minutiae Matching Technique." IJCVIP vol.6, no.1 2016: pp.12-27. http://doi.org/10.4018/IJCVIP.2016010102

APA

Djara, T., Assogba, M. K., & Vianou, A. (2016). A Contactless Fingerprint Verification Method using a Minutiae Matching Technique. International Journal of Computer Vision and Image Processing (IJCVIP), 6(1), 12-27. http://doi.org/10.4018/IJCVIP.2016010102

Chicago

Djara, Tahirou, Marc Kokou Assogba, and Antoine Vianou. "A Contactless Fingerprint Verification Method using a Minutiae Matching Technique," International Journal of Computer Vision and Image Processing (IJCVIP) 6, no.1: 12-27. http://doi.org/10.4018/IJCVIP.2016010102

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Abstract

Most of matching or verification phases of fingerprint systems use minutiae types and orientation angle to find matched minutiae pairs from the input and template fingerprints. Unfortunately, due to some non-linear distortions, like excessive pressure and fingers twisting during enrollment, this process can cause the minutiae features to be distorted from the original. The authors are then interested in a fingerprint matching method using contactless images for fingerprint verification. After features extraction, they compute Euclidean distances between template minutiae (bifurcation and ending points) and input image minutiae. They compute then after bifurcation ridges orientation angles and ending point orientations. In the decision stage, they analyze the similarity between templates. The proposed algorithm has been tested on a set of 420 fingerprint images. The verification accuracy is found to be acceptable and the experimental results are promising.

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