Disguise Face Recognition Based On Spectral Imaging
Authors: 
Narayan Vetrekar, R. Raghavendra, Kiran B. Raja, R. S. Gad, 
Christoph BuschAuthors Info & Claims
Article No.: 78, Pages 1 - 9
Abstract
Despite the challenge in recognizing disguise images on Face Recognition Systems (FRS), it has not received significant attention. Considering the fact that most of the FRS operates in visible spectrum which is not optimal solution for disguise face recognition, we explore spectral imaging and thereby the intrinsic features of spectral imaging for disguise face recognition. The major contribution of this work lies in presenting new approach that extract the histogram features independently for the spectral band images using Histogram Oriented Gradient (HOG) method and learning the unique discriminative features in affine feature space for disguise face recognition problem in robust manner. We present an extensive experimental validation results in terms of verification rate to present the significance of our proposed method. Further, we employ state-of-the-art disguise face recognition methods on individual spectral bands and fused spectral bands. The Proposed method demonstrates best performance in recognizing disguise face images compared to the state-of-the-art methods.
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Index Terms
- Disguise Face Recognition Based On Spectral Imaging
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Published In
December 2018
659 pages
ISBN:9781450366151
DOI:10.1145/3293353
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Published: 03 May 2020
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ICVGIP 2018
ICVGIP 2018: 11th Indian Conference on Computer Vision, Graphics and Image Processing
December 18 - 22, 2018
Hyderabad, India
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Overall Acceptance Rate 95 of 286 submissions, 33%
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