Face recognition with disguise and single gallery images

Authors:
Richa Singh;Mayank Vatsa;Afzel Noore
Affiliations:
Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA;Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA;Lane Department of Computer Science and Electrical Engineering, West Virginia University, USA
Venue:
Image and Vision Computing
Year:
2009

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Abstract

This paper presents a face recognition algorithm that addresses two major challenges. The first is when an individual intentionally alters the appearance and features using disguises, and the second is when limited gallery images are available for recognition. The algorithm uses a dynamic neural network architecture to extract the phase features of the face texture using 2D log polar Gabor transform. The phase features are divided into frames which are matched using the Hamming distance. The performance of the proposed algorithm is evaluated using three databases that comprise of real and synthetic face images with different disguise artifacts. The performance of the algorithm is evaluated for decreasing number of gallery images and various types of disguises. In all cases the proposed algorithm shows a better performance compared to other existing algorithms.