Face Recognition by Reconstructing A 2.5 D Face using Photometric Stereo
Bhavnesh Jaint1, Shivam Maheshwari2, Sushant Agarwal3, Sampada Singh4
1Bhavnesh Jaint*, Department of Electrical Engineering, Delhi Technological University (Formerly Delhi College of Engineering), New Delhi, India.
2Shivam Maheshwari, Department of Electrical Engineering, Delhi Technological University (Formerly Delhi College of Engineering), New Delhi, India.
3Sushant Agarwal*, Department of Electrical Engineering, Delhi Technological University (Formerly Delhi College of Engineering), New Delhi, India.
4Sampada Singh*, Department of Electrical Engineering, Delhi Technological University (Formerly Delhi College of Engineering), New Delhi, India.
Manuscript received on April 20, 2020. | Revised Manuscript received on May 01, 2020. | Manuscript published on May 10, 2020. | PP: 944-949 | Volume-9 Issue-7, May 2020. | Retrieval Number: G5447059720/2020©BEIESP | DOI: 10.35940/ijitee.G5447.059720
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© 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: Face recognition is an important application of image analysis and it has received a lot of interest in the last decade. There is a critical need for a reliable identification system. As of now, face recognition is not reliable enough in the majority of security applications, therefore a low cost, accurate, and viable identification method are required for face recognition. Two dimensional (2D) face recognition systems that are already existing are often not reliable. Three dimensional (3D) face recognition systems produce more accurate and robust than 2D systems but they are very costly due to large scanning and coded light and also consume a lot of time in the recognition process. This paper aims to produce a low-cost 3D face recognition system (2.5D) using photometric stereo which is less explored in face recognition systems. The capabilities of photometric stereo for use in face recognition are evaluated using a number of experiments conducted using the photometric stereo system and it is implemented and shown to be better than our traditional 2D systems. This system is aimed to solve a number of issues we see in face recognition systems like illumination, distance from the camera and pose and thus, it could be a useful application for biometric authentications in homes, governmental organizations and financial institutions
Keywords: Biometric control, Cosine similarity face recognition, Feature extraction, Intensity matrix, Photometric stereo, Recognition rate, Similarity score, Surface normal.
Scope of the Article: Image Processing and Pattern Recognition