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ARM Based Security System Using Linear Discriminant Analysis
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This paper presents an ARM Based Security system using facial recognition Techniques. Also a comparison analysis between Principal Component Analysis (PCA), Independent Component Analysis (ICA) and Linear Discriminant Analysis (LDA) algorithms for facial recognition implemented in ARM Cortex M4 processor is done. A training database is created with images of all the authenticated users. The image of the user, whose identity is to be authorized, is captured using a webcam and the ARM microcontroller processes the algorithms to convert the images into vectors and components which are then compared with the images existing in the training database. Results are displayed in a LCD. To compare the performance of the algorithms ORL image database is used. The performance parameters used for comparison are Recognition rate and Cumulative Match score (CMS). The experimental results indicate that LDA algorithm outperforms in terms of recognition accuracy and CMS and gives best results under different illumination conditions, various expressions and poses. It can also be observed that the execution time decreases drastically when executed in ARM Cortex M4 microcontroller compared to execution in MATLAB.
Keywords
Facial Recognition, Linear Discriminant Analysis, ARM Cortex M4 Microcontroller, Execution Time, Recognition Accuracy.
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- Adnan Affandi, Mohammed Awedh, Mubashshir Husain and Ahmed Alghamdi, “RFID and Face Recognition based Security and Access Control System”, International Journal of Innovative Research in Science, Engineering and Technology, Vol. 2, No. 11, pp. 27-34, 2013.
- Michel Owayjan, Amer Dergham, Gerges Haber, Nidal Fakih, Ahmad Hamoush, Elie Abdo, “Facial Recognition Security System”, Proceedings of International Conference on Electrical, Electronics and Optimization Techniques, pp. 75-81, 2016
- C.A. Athira, Hashlin P Jose, T. Jini John and Aswathi Wilson, “Security Alert using Face Recognition”, International Journal of Advances in Computer Science and Technology, Vol. 5, No. 12, pp. 176-179, 2016.
- J. Shankar Kartik, K. Ram Kumar and V.S. Srimadhavan, “Security System with Face Recognition and Embedded Network Video Monitoring Terminal”, International Journal of Security, Privacy and Trust Management, Vol. 2, No. 5, pp. 53-59, 2015.
- Sameerchand Pudaruth, Faugoo Indiwarsingh and Andrakant Bhugun, “A Unified Intrusion Alert System using Motion Detection and Face Recognition”, Proceedings of 2nd International Conference on Machine Learning and Computer Science, pp. 17-20, 2013.
- Chathunika Gamage and Lasantha Seneviratne, “Development of a Learning Algorithm for Facial Recognition under Varying Illumination”, Proceedings of International Conference on Information and Automation for Sustainability, pp. 119-126, 2014.
- Chengyun Liu, Zhenxue Chen, Faliang Chang and Kaifang Wang, “Face Recognition Algorithm based on Improved Facial Model”, Proceedings of International Conference on Natural Computation, pp. 927-931, 2014
- Maria Rosario D. Rodavia and Orlando Bernaldez, “Web and Mobile based Facial Recognition Security System using Eigenfaces Algorithm”, Proceedings of IEEE International Conference on Teaching, Assessment, and Learning for Engineering, pp. 86-92, 2016.
- Sizhi Zhong, Youguang Chen and Shuchun Liu, “Facial Recognition using Local Feature Selection and Extended Nearest Neighbour Algorithm”, Proceedings of International Conference on Computational Intelligence and Design, pp. 328-331, 2014.
- Chaoqun Jing Tian and Liang Qijun Lei, “Camera Security Network Design and Realization based on PCA Facial Recognition Algorithms”, Proceedings of IEEE International Conference on Electronic Information and Communication Technology, pp. 68-75, 2016.
- Ala Eldin Omer and Adil Khurran, “Facial Recognition using Principal Component Analysis based Dimensionality Reduction”, Proceedings of International Conference on Computing, Control, Networking, Electronics and Embedded Systems Engineering, pp. 73-78, 2015.
- J. Ye, R. Janardan and Q. Li, “Two-Dimensional Linear Discriminant Analysis”, Proceedings of International Conference on Advances in Neural Information Processing Systems, pp. 1569-1576, 2004.
- Riddhi A. Vyas and M. Shah, “Comparison of PCA and LDA Techniques for Face Recognition Feature based Extraction with Accuracy Enhancement”, International Research Journal of Engineering and Technology, Vol. 4, No. 6, pp. 3332-3336, 2017.
- Narpat A. Singh, Manoj B. Kumar and Manju C. Bala, “Face Recognition System based on SURF and LDA Technique”, International Journal Intelligent Systems and Applications, Vol. 2, pp. 13-19, 2016.
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