An efficient feature extraction for biometric authentication Online publication date: Mon, 01-Jun-2020
by P. Betty; D. Mohana Geetha; I. Jeena Jacob
International Journal of Business Intelligence and Data Mining (IJBIDM), Vol. 16, No. 4, 2020
Abstract: Biometric authentication has received greater significance due to its high uniqueness and performance. The ability of quick and convenient authentication is required due to its widespread demand. Extraction of feature is the primary and important task for effective authentication. Dissimilar chrominance texture pattern (DiCTP) technique is used in this paper for effective feature extraction. Patterns of two sequences are generated from the inter channel information of the image which extracts the coloured texture information of the input. Unique information is generated from RGB and BRG planes of the image which produces a part of diversified chromatic feature vectors. The local binary pattern (LBP) code is generated and added along with the feature vector, which aids to inculcate the greyscale information of the image. The experimental results are formulated using the CASIA Face Image Database Version 5 (DB1) and Indian Face database (DB2) which give considerable improvements over the existing methodology.
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