Open AccessImage-Based Face Detection and Recognition
Author(s) -
Gaurav Melkani and Dr. Sunil Maggu
Publication year - 2021
Publication title -
international journal of modern trends in science and technology
Language(s) - English
Resource type - Journals
ISSN - 2455-3778
DOI - 10.46501/ijmtst061290
Subject(s) - biometrics , computer science , artificial intelligence , object class detection , computer vision , facial recognition system , three dimensional face recognition , face recognition grand challenge , face (sociological concept) , face detection , identification (biology) , 3d single object recognition , object (grammar) , field (mathematics) , object detection , cognitive neuroscience of visual object recognition , pattern recognition (psychology) , mathematics , social science , botany , sociology , pure mathematics , biology
Face recognition from image or video is a popular topic in biometrics research. Many public placesusually have surveillance cameras for video capture and these cameras have their significant value forsecurity purpose. It is widely acknowledgedthatthefacerecognitionhaveplayedanimportant role insurveillance system as it doesn’t need the object’s cooperation. The actual advantages of face basedidentification over other biometrics are uniqueness and acceptance. As human face is a dynamic objecthaving high degree of variability in its appearance, that makes face detection a difficult problem incomputer vision. In this field, accuracy and speed of identification is a mainissue.The goal of this paper is to evaluate various face detection and recognition methods, provide completesolution for image based face detection and recognition with higher accuracy, better response rate asan initial step for video surveillance. Solution is proposed based on performed tests on various face richdatabases in terms of subjects, pose, emotions, race andlight.