Real Time Face Recognition of Human Faces by using LBPH and Viola Jones AlgorithmReal Time Face Recognition of Human Faces by using LBPH and Viola Jones Algorithm
Keywords:
LBPH, Viola Jones, Euclidean Distance, OpenCV, WebcamAbstract
In our social life face is the primitive center for consideration, which plays a vital task for identification and an emotion. Live Face Recognition has attained enormously consideration in security systems, due to its non intrusiveness, accurate and fast results etc. Real time human Face recognition executes in two levels, such as Face detection and Face recognition. For face detection we are using viola-jones algorithm because of its high precision and high real time permit rate which is deployed in opencv by python language. In Face recognition two categories are considered: training phase and evaluation phase. In training phase, the algorithm is trained with the samples of the image to be learned and In estimation phase, the test image is compared among all the trained samples in the dataset. The facial features is extracted with the detected faces from live stream by Local Binary Patterns Histogram (LBPH). By using the LBPH, face recognition is finished using Euclidean distance classifier. The Experimental results getting after implementations and testing is of accuracy 85%-95%.
References
Dr. Eyad I. Abbas, Mohammed E. Safi- MIEEE, Dr. Khalida S. Rijab, “ Face Recognition Rate Using Different Classifier Methods Based on PCA”, International Conference on Current Research in Computer Science and Information Technology (ICCIT),2017 pp 37-40.
Priyanka Dhoke, M.P. Parsai, “A MATLAB based Face Recognition using PCA with Back Propagation Neural network”, 2014.
Nawaf Hazim Barnouti ,Sinan Sameer Mahmood Al-Dabbagh ,Wael Esam Matti ,Mustafa Abdul Sahib Naser, “Face Detection and Recognition Using Viola-Jones with PCA-LDA and Square Euclidean Distance” International Journal of Advanced Computer Science and Applications, Vol. 7, No. 5, 2016.
Ningthoujam Sunita Devi, K. Hemachandran, “Face Recognition Using Principal Component Analysis”, International Journal of Computer Science and Information Technologies, Vol. 5 (5), 2014,pp 6491-6496.
Nisha, Maitreyee Dutta, “Improving the Recognition of Faces using LBP and SVM Optimized by PSO Technique”, International Journal of Engineering Development and Research, Volume 5, Issue 4,2017 , ISSN: 2321-9939,pp 297-303.
Paul Viola, Michael Jones, “Rapid object Detection using a Boosted cascade of simple features”, Conference on Computer vision and Pattern recognition 2001.
Prabhjot Singh and Anjana Sharma, “Face Recognition Using Principal Component Analysis in MATLAB”, International Journal of Scientific Research in Computer Science and Engineering, Vol-3(1), pp (1-5) Feb 2015.
Ali, A. Hussain, S. Haroon, F Hussain, S. Khan, M.F. “Face Recognition with Local Binary Patterns”. Bahria University Journal of Information Communication Technology, pp 46–50, 2012.
Idelette Laure Kambi Beli and Chunsheng Guo, “Enhancing Face Identification Using Local Binary Patterns and K-Nearest Neighbors”, Journal of Imaging, 2017.
Keerti V, Dr. Sarika Tale, “Implementation Of Preprocessing And Efficient Blood Vessel Segmentation In Retinopathy Fundus Image”. IJRITCC, Volume 3, Issue 6, 2015.
Panchakshari P, Dr. Sarika Tale, “Performance Analysis of Fusion method for EAR Biometrics”. IEEE Conference on recent trends in Electronics, Information and Communication, May 2016.
M Madhurekha, Dr. Sarika Raga, “CT Brain image Enhancement using DWT-SVD gamma correction method and diagnosis of anomalous using CNN”. IEEE, 2018.
Anitha N E, Dr. Sarika Raga, “Lung Carcinoma Identification Through Support Vector Machines And Convolutional Neural Network”. JETIR,Volume 5 ,Issue 9, 2018.
Downloads
Published
How to Cite
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.
