Efficient Descriptor of Histogram of Ridges Orientation Delineate for Fingernail

Fingernails structure are rich in orientation, ridges and edge features. Inspired by Edge Histogram Descriptor (EHD), this paper presents an efficient orientation-based local descriptor, named histogram of orientation delineate (HROD). HROD is based on the fact that human vision sensitive to features for image perception. For a given image, algorithm first execute perform pre-process i.e., re-sizing, filtering, enhancement, segmentation, detection feature extraction. Then, finds oriented maps according predefined orientations using well-known operator mask (2×2 sub block) obtains map choosing with maximum magnitude each pixel. In experiment research, five were used generate detect construction block, namely vertical, horizontal, diagonal 45°, 135° isotropic (non-orientation specific) orientation. Experimental results fingernail images show performance comparable state-of-the-art methods (e.g., Gabor filter, gradients, directional code). Furthermore, proposed has advantages low dimensionality fast implementation real-time fingernails recognition system.