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Please use this identifier to cite or link to this item: http://173.208.131.244:9060/xmlui/handle/123456789/740
Title: Real time Face Recognition and Detection for Industrial Application
Authors: GHANI KHAN, MUHAMMAD USMAN
FAROOQ, ALI
IRSHAD, OMER
Keywords: Real time Face recognition
Face detection
Computer Vision technology
Pattern Recognition
Artificial Intelligence
PASTIC
Issue Date: 1-Jan-2018
Publisher: PASTIC
Abstract: In the recent era, face recognition has procured the most important application of image understanding and analysis which is quite evident by some of the recent researches. Computer vision, pattern recognition and biometrics are emerging field for the researchers in the recent past with the focus in the area of the human recognition. Face recognition is an important factor keeping different issues such as robotics, security, attendance system. This paper concentrates on the industrial utility of Computer Vision techniques, namely face detection and recognition module. The present study mainly focuses on the Real Time Face Recognition System (RTFRS) and its applications. This scenario provides the opportunity to treat the face as a biometric identifier, that the person using information about the person or other biological organism, and, that how to deal this identifier for different services.
URI: http://173.208.131.244:9060/xmlui/handle/123456789/740
ISSN: 2519-5404
Appears in Collections:Journals

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