Face Recognition Open CV Based ATM Security System
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Published:2022-05-31
Issue:5
Volume:10
Page:1114-1119
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ISSN:2321-9653
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Container-title:International Journal for Research in Applied Science and Engineering Technology
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language:
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Short-container-title:IJRASET
Author:
Gujar Prof. Anil. D.,Sawant Nikita B,Hake Tejas L,Shete Aadesh A,Deshmukh Shreekar M
Abstract
Abstract: The real-time face detection and recognition has been made possible by using the method of Viola jones, Analysis work. The software first taking images of all persons and stores the information into database. Proposed work deals with automated system to detect person. The methodology comprised of three phases, first face Detection from image, second get all detail of face for the purpose of feature extraction. The most useful and unique features of the camera image are extracted in the feature extraction phase. Find out all facial details are visible. This feature vector forms an efficient representation of the face. In third phase and grab our feature extraction has been created to find the person how osculated face. Keywords: Haar cascade, Automatic Teller Machine, Annaconda (Jupyter IDE), Machine learning, CNN, Feature extraction
Publisher
International Journal for Research in Applied Science and Engineering Technology (IJRASET)
Subject
General Earth and Planetary Sciences,General Environmental Science
Cited by
1 articles.
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1. Open CV-Based Face Detection Security System;2023 3rd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE);2023-05-12