A Multimodal Hand Recognition System Based on Finger Inner-Knuckle Print and Finger Geometry. Issue 1 (2nd January 2019)

• Record Type: Journal Article
• Authors: Bahmed, Farah; Mammar, Madani Ould; Ouamri, Abdelaziz
• Is Part Of: Journal of applied security research. Volume 14:Issue 1(2019)
• Page Start: 48
• Page End: 73
• Publication Date: 2019-01-02
• Subjects: Biometrics -- contactless hand recognition -- finger geometry -- fusion -- knuckle print recognition; Police, Private -- Training of -- Periodicals; Police, Private -- Training of -- United States -- Periodicals; Private security services -- Periodicals; 363.289
• DOI: 10.1080/19361610.2019.1545271
• Languages: English
• ISSNs: 1936-1610

Abstract

Abstract: Security applications based on hand biometrics are good mean for personal authentication and access control. This article proposes a novel multimodal biometric system that makes use of hand fingers' inner knuckle prints and hand's fingers' geometry. Further, both major knuckle print and minor knuckle print are used. A statistical approach for finger geometry features selection is also proposed. Biometric fusion is investigated using different strategies. Experimental results obtained on a contactless database using standard metrics show that the proposed system achieves high recognition rate. Thus, the proposed approach achieves effective authentication accuracy and can be used in real conditions.