Pyramid Histogram of Double Competitive Pattern for Finger Vein Recognition
Pyramid Histogram of Double Competitive Pattern for Finger Vein Recognition is a scholarly work, published in 2018 in ''IEEE Access''. The main subjects of the publication include image, histogram, kernel, Histogram of oriented gradients, orientation (vector space), artificial intelligence, feature extraction, computer science, computer vision, pyramid, integer partition, facial recognition system, Gabor filter, biometrics, pattern recognition, and dermatoglyphics. To effectively utilize these rich orientation features in finger vein images, this paper proposes a new local descriptor, namely, pyramid histogram of double competitive pattern (PHDCP).