Total Downloads: 50 , 1
Efficient Descriptor of Histogram of Ridges Orientation Delineate for Fingernail
Abdullah Alzahrani
Abdullah Alzahrani, School of Electrical and Electronic Engineering, Taif University, Al Hawiyah, Taif 26571, KSA.
Manuscript received on 31 March 2023 | Revised Manuscript received on 26 July 2023 | Manuscript Accepted on 15 September. 2023 | Manuscript published on 30 September 2023 | PP: 34-42 | Volume-12 Issue-3, September 2023 | Retrieval Number: 100.1/ijrte.A75770512123 | DOI: 10.35940/ijrte.A7577.0912323
Open Access | Editorial and Publishing Policies | Cite | Zenodo | Indexing and Abstracting
© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Orientation, ridges, and edges are prominent features of fingernail structure. This paper proposes a local descriptor based on ridge orientation, called Histogram of Ridges Orientation Delineate (HROD), based on Edge Histogram Descriptor (EHDD). As humans perceive images by looking at edge features, Finger HROD utilizes this sensitivity. Before performing feature extraction, the HROD algorithm conducts a range of preprocessing steps, including resizing, filtering, enhancing, and segmenting images. After this, the ridges orientation delineate maps are obtained by selecting an orientation with the maximum edge magnitude for each pixel based on predefined orientations. This study utilised five oriented edge maps to generate and detect the maximum edge orientations of each block: vertically, horizontally, diagonally at 45°, diagonally at 135°, and isotropically (non-orientation-specific). The results of experiments conducted on fingernail images demonstrate that the performance of HROD is similar to that of advanced orientation-based methods such as the Gabor filter, histogram of oriented gradients, and local directional code. Additionally, the HROD algorithm being suggested offers the benefits of minimal feature complexity and quick execution, making it ideal for a real-time system designed to recognize fingernail orientations.
Keywords: Edge Histogram Descriptor (EHD), Histogram of Ridges Orientation Delineate (HROD), Edge Orientation; Bit-Point (BP); Vertical Edge Orientation; horizontal Edge Orientation; Diagonal Edge; Non-Edge Orientation (Isotropic).
Scope of the Article: Internet of Things (IoT) & IoE & Edge Computing