Implementation of Improved Face Recognition Technique for Car Ignition Access Control Using Raspberry Pi Microcontroller
V. Ramanath, Research Scholar, Department of Electronics, SSBN College (Autonomous), Anantapuramu-515001, A.P-India.
Manuscript received on June 22, 2015. | Revised Manuscript received on June 25, 2015. | Manuscript published on July 25, 2015. | PP:6-10 | Volume-3 Issue-9, July 2015. | Retrieval Number: I1009073915
Open Access | Ethics and Policies | Cite
© 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: This paper focuses on the use of face recognition technique for Car ignition, as opposed to the natural method of using keys. Face recognition is a fast increasing, interesting area in real time applications .The face recognition methodology enables face recognition of valid users of the vehicle to be enrolled in a database. Before any user can access the car, the image of his face is matched against the faces in the database. The users with no match in the database are prevented from accessing the vehicle. Haar features are used for object detection and Principal Component Analysis is used for face recognition. This work is implemented on Raspberry Pi microcontroller and this is very low cost system.
Keywords: Raspberry Pi, GSM Module, Open CV, QT creator, Haar Features and Principal Component Analysis.