Title: Local texture description framework-based modified local directional number pattern: a new descriptor for face recognition

Authors: R. Reena Rose; A. Suruliandi; K. Meena

Addresses: Department of Computer Applications, St. Xavier's Catholic College of Engineering, Chunkankadai, Nagercoil, K. K. District, Tamilnadu, India ' Department of Computer Science and Engineering, Manonmaniam Sundaranar University, Abishekapatti, Tirunelveli, Tamilnadu, India ' Department of Computer Science and Engineering, V. V. College of Engineering, Tirunelveli, Tamilnadu, India

Abstract: Texture descriptors effectively capture the surface property of images. However, almost all the available local texture descriptors encode a texture pattern using the closest neighbours. But the local texture description framework (LTDF) proposed earlier proved the importance of eight sampling points that lie elliptically at a certain distance apart from a pixel under consideration in distinguishing different face images. Recently, a local texture descriptor namely local directional number pattern (LDN) is introduced to encode the directional information of the structure of a face's texture. Incorporating the concepts of LTDF and LDN, this paper proposes a new texture descriptor namely LTDF-based modified local directional number pattern (LTDF_MLDN). LTDF_MLDN describes a texture pattern with the sampling points at dissimilar area. Effectiveness of the system is tested for the different issues in face recognition using five benchmark databases. Experimental results reveal the effectiveness of the proposed descriptor over the state-of-the-art approaches.

Keywords: texture descriptors; nearest neighbourhood classifier; chi square distance metric; local texture description; local directional number patterns; biometrics; face recognition; face images; sampling points.

DOI: 10.1504/IJBM.2015.070928

International Journal of Biometrics, 2015 Vol.7 No.2, pp.147 - 169

Received: 27 Nov 2014
Accepted: 01 May 2015
Published online: 31 Jul 2015 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article