Face Detection and Gender Classification using Facial Features
G.Kavitha1, I.Laurence Aroquiaraj2
1G.Kavitha*,Ph.D Research Scholar, Department of Computer Science, Periyar University, Salem, India.
2Dr. I. Laurence Aroquiaraj, Assistant Professor, Department of Computer Science, Periyar University, Salem, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 6670-6674 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9131118419/2019©BEIESP | DOI: 10.35940/ijrte.D9131.118419
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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 the most important part to identifying people in biometric system. It is the most usable biometric system. This paper focuses on human face recognition by calculating the facial features present in the image and recognizing the person using features. In every face recognition system follows the preprocessing, face detection techniques. In this paper mainly focused on Face detection and gender classification. They are performed in two stages, the first stage is face detection using an enhanced viola jones algorithm and the next stage is gender classification. Input to the video or surveillance that video converted into frames. Select few best frames from the video for detecting the face, before the particular image preprocessed using PSNR. After preprocessing face detection performed, and gender classification comparative analysis done by using a neural network classifier and LBP based classifier.
Keywords: Face Recognition, Preprocessing, Face Detection, Viola Jones, Gender Classification, Neural Network.
Scope of the Article: Pattern Recognition.