A Contactless Fingerprint Verification Method using a Minutiae Matching Technique

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AuteurDJARA, TAHIROU
AuteurASSOGBA, KOKOU MARC
AuteurVIANOU, ANTOINE
Date d'ajout2026-06-02T16:06:57Z
Date de disponibilite2026-06-02T16:06:57Z
Date de publication2016
ResumeMost 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.
DOI10.4018/IJCVIP.2016010102
Autre identifiantBECDB-3931
URIhttps://dspace.uac.bj/handle/123456789/3781
Languefr
Fait partie deInternational Journal of Computer Vision and Image Processing
SujetContactless Biometrics
SujetEuclidean Distance
SujetFingerprint
SujetMinimum Orientation Angle Difference
SujetVerification
TitreA Contactless Fingerprint Verification Method using a Minutiae Matching Technique
TypeArticle

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