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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://142.54.178.187:9060/xmlui/handle/123456789/740 |
ISSN: | 2519-5404 |
Appears in Collections: | Journals |
Files in This Item:
File | Description | Size | Format | |
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Article 5.pdf | 1.7 MB | Adobe PDF | View/Open |
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