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Human authentication with finger textures based on image feature enhancement

Lookup NU author(s): Raid AL-NIMA, Emeritus Professor Satnam Dlay, Dr Wai Lok Woo, Professor Jonathon Chambers


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The main goal of this paper is to authenticate people according to their finger textures. We propose to extract Finger Texture (FT) features of the four finger images (index, middle, ring and little) from a low resolution contactless hand image. Furthermore, we apply a new Image Feature Enhancement (IFE) method to enhance the FTs. The resulting feature image is segmented and a Probabilistic Neural Network (PNN) is employed as an intelligent classifier for recognition. Experimental results illustrate that the proposed approach has superior performance than recent published work. Moreover, the best IFE results were obtained with the Equal Error Rate (EER) equal to 4.07%.

Publication metadata

Author(s): Al-Nima RRO, Dlay SS, Woo WL, Chambers JA

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: 2nd IET International Conference on Intelligent Signal Processing 2015 (ISP)

Year of Conference: 2015

Online publication date: 17/11/2016

Acceptance date: 01/01/1900

Publisher: Institution of Engineering and Technology


DOI: 10.1049/cp.2015.1784