Face Recognition and Identification Using Computer Vision

Abstract

ABSTRACT
In practice, identification of criminal in India is done through thumbprint identification. However, this type of identification has many constraints. Our face recognition poses to be able to detect face and recognize face automatically. Nowadays, face recognition systems use biometric for many security applications. This technique uses an image-based approach toward artificial intelligence by removing redundant data from face images through image compression using computer vision that compares a person’s face that is live capture image or a video source with the stored faces. Protecting the people from the criminals in public areas is a great challenge. Face recognition is the preliminary step for face detection. The recognized face should be exact in different viewpoints like when the countenances are turned, under complex backgrounds, lighting conditions, variety of skin tones and so forth. These ended up testing factors in the face discovery process. Numerous frameworks were proposed before for face discovery. These current frameworks guarantee face location in shading pictures or lighting conditions or foundation complexities. Some regular issues in these frameworks are that they need to experience numerous stages over and again prompting uproarious yield, less exactness, additional time utilization, and productivity levels. Hence this paper proposes a system for detection and recognition using vision assistant and classifies the input into frames for feature extraction. This system detects faces in a group of people, variability in skin tones, variability in scale, in the presence of outliners. The recognition system recognizes a suspect by comparing the face of the suspect with the faces that were stored in the database (like AADHAR). The suspect’s face is automatically forwarded to the nearby government security organization to catch the suspect. This system provides a fast detection rate accounting for better accuracy and efficiency levels. This paper provides safety to the public in crowded areas like railway stations, bus stands, cinemas theatres, market areas, shopping malls, parks and so on.

Keywords: computer vision, face detection, face recognition, scaling, security

Cite this Article: T. Sudharsan, S. Sumithaa, S.R. Swarga. Face Recognition and Identification Using Computer Vision. International Journal of Image Processing and Pattern Recognition. 2019; 5 (1): 6-10p.