Disguise Face Recognition Based On Spectral Imaging
Narayan Vetrekar, Raghavendra Ramachandra, Kiran Bylappa Raja, Rajendra S. Gad, Christoph Busch · 2018
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.