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Face Detection and Recognition Techniques: A Survey
Sudeshna Bhosale, Ghatage Dhanashri, Mane Namrata, Mugale Pallavi
DOI: 10.17148/IJARCCE.2018.71145
Abstract:
The biometric is a study of human behavior and features. Face recognition is a technique of biometric. Various approaches are used for it. Authentication & Identification has become major issue in today’s digital world. Face recognition plays a significant role in authentication & identification. In this paper several existing face detection and recognition approaches are analyzed and discussed. Each approached is discussed briefly & compared with the other in terms of key evaluation parameters. As face detection is the elementary yet an important step towards automatic face recognition, main goal of this paper is to come up with an approach that is a good candidate for face detection and face recognition.
Keywords:
Face Detection, Face Detection, Skin Color Modeling, Haar like Feature, Principle Component Analysi, Face Recognition, Haar Cascade, LBP, Eigenfaces, Fisherfaces.
[1] Sudeshna Bhosale, Ghatage Dhanashri, Mane Namrata, Mugale Pallavi, “Face Detection and Recognition Techniques: A Survey,” International Journal of Advanced Research in Computer and Communication Engineering (IJARCCE), DOI: 10.17148/IJARCCE.2018.71145
