Authors: P. Betty; D. Mohana Geetha; I. Jeena Jacob
Addresses: Department of Computer Science and Engineering, Kumaraguru College of Technology, Coimbatore, Tamil Nadu, India ' Department of Electronics and Communication Engineering, SNS College of Technology, Coimbatore, Tamil Nadu, India ' Department of Computer Science and Engineering, SCAD College of Engineering and Technology, Tirunelveli, Tamil Nadu, India
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.
Keywords: biometric authentication; dissimilar chrominance texture pattern; content-based image retrieval.
International Journal of Business Intelligence and Data Mining, 2020 Vol.16 No.4, pp.480 - 489
Received: 13 Apr 2017
Accepted: 15 Nov 2017
Published online: 02 Apr 2020 *