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A Review of Various Face Recognition Methods

Journal: International Journal of Science and Research (IJSR) (Vol.11, No. 8)

Publication Date:

Authors : ;

Page : 1232-1238

Keywords : Face Recognition; Holistic Learning; Feature Extraction; Deep Learning; Convolution Neural Network; Periocular Region;

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Abstract

Face recognition, the fastest growing biometric technology of computer vision, made a breakthrough in the field of security, healthcare, access control and marketing etc. This technology helps in identifying the faces for authentication by comparing available digital image of faces. Various algorithms have been developed for enhancing the performance of face recognition system. The face authentication system entails three major steps, face detection, feature extraction and face recognition. This paper elucidates various techniques of face recognition like holistic learning approach, hybrid approach and deep learning approach. Periocular region is the feature rich region around the eye which may include features like eyelids, eyelashes, eyebrows, tear duct, eye shape, skin texture and more. This paper provides a comprehensive survey of periocular biometrics and a deep insight of various aspects such as utility of periocular biometrics and a deep insights of various aspects such as utility of periocular region as different modality like stand ? alone modality and periocular region and its fusion with iris.

Last modified: 2022-09-07 15:21:04