Automatic Face Detection using RGB Color Model for Authentication
Chiranjit Dutta1, Ranjeet Singh2
1Mr. Chiranjit Dutta, Faculty of Information Technology, SRM University, NCR Campus, Modinagar, India.
2Mr. Ranjeet Singh, Faculty of Information Technology, SRM University, NCR Campus, Modinagar, India.
Manuscript received on October 16, 2015. | Revised Manuscript received on October 29, 2015. | Manuscript published on November 05, 2015. | PP: 70-73 | Volume-5 Issue-5, November 2015 . | Retrieval Number: E2753115515/2015©BEIESP
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©The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/
Abstract: The paper entitled Automatic face detection using RGB color model is the application developed to recognise the face and use it as a biometric security in the email protection. The face is captured through the webcam and stored in the database with the email id, password and then if we try to login then it again ask for face input and if the face matches then we can login . The face that we capture during login is matched with the image present in the database by matching the R,G,B component . This paper provides more secure and robust email security using biometric as a password. Biometric security comes with its own unique set of challenges. While face recognition have been used as a biometric security, which make the email more secure; its accuracy is still a problem. As it provide only 80 to 90 % accuracy. Therefore, we must find a way to make it more accurate and secure.This application may also be used to prevent various crimes going on in the country. Even it can be used in capturing the images of suspected person and matching it with the databases of criminals to catch them.Further, the algorithm can detect both dark skin-tone and bright skin-tone using YUC Color Space model.
Keywords: Euclidean space, face Detection, Principal Component Analysis.