Design and Implementation of Automated Door Accessing System with Face Recognition
I. Yugashini1, S. Vidhyasri2, K. Gayathri Devi3
1I.Yugashini, Department of Electronics and Communication Engineering, Dr. NGP. Institute Of Technology, Coimbatore, India.
2S.Vidhyasri, Department of Electronics and Communication Engineering, Dr. NGP. Institute Of Technology, Coimbatore, India.
3Prof.K.Gayathri Devi, Working as Associate Professor in Department of Electronics and Communication Engineering, Dr. NGP. Institute Of Technology, Coimbatore, India.
Manuscript received on November 05, 2013. | Revised Manuscript received on November 2013 11, 2013. | Manuscript published on November 15, 2013. | PP: 10-13 | Volume-1 Issue-12, November 2013. | Retrieval Number: L05101111213/2013©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: In the last two decades face recognition has received significant attention and an important issue in many applications such as access control, security systems, credit card verification and criminal identification. This paper proposes three main sub systems namely face recognition, face detection and automatic door access control. The face recognition and detection process is implemented by modifying principal component analysis (PCA) approach to fast based principal component analysis (FBPCA) approach, by which the captured image is detected using a web camera and compared with the image in the database. If the image is an authenticated one the door will be opened automatically else an SMS will be generated using a GSM modem to the user that an unauthorized person has entered home.
Keywords: Face recognition (FR), Face detection (FD), Fast Based Principle Component Analysis (FBPCA) algorithm, GSM.