Real Time Face Detection And Recognition Using Hybrid Method

Prof. MPS Chawla, Ashish Kumrawat


Over the last few decades, the advancement in computer technology has made it possible to work Biometric systems with very high efficiency in real life scenario. Various efforts have been made to minimize pre-processing time. In this paper, the application developed here includes human face detection and recognition system using hybrid techniques. The hybrid technique is basically a combination of skin grabbing, Gabor filter and PCA. The whole system is divided into two sections. Firstly, real time detection of faces using various skin grabbing techniques. Secondly, a face recognition system using Gabor filter and PCA method. Hybrid technique for face detection and recognition guarantees accuracy.

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Sonu Lamba, Neeta Nain, Harendra Chahar. “A Robust Multi-Model Approach for Face-Detection in Crowd”. 2016 12th International conference on signal image technology and internet-based system

Felzenszwalb, Pedro F., et al.”Object detection with discriminatively trained part-based models.”IEEE transactions on pattern analysis and machine intelligence 32.9(2010): 1627-1645.

Ming Jiang, Jingcheng Huang, Xingqi Wang, Jingfan Tang, Chunming Wu,.”An Approach For Crowd Density And Crowd Size Estimation”, Journal of Software, Vol 9. No.3, March 2014.

Adrian Lim Hooi Jin, Ali Chekima , Jamal Ahmad Dargham , and Liau Chung Fan . ”Fingerprint identification and recognition using backproportion method.” 2002 Student Conference on Research and Development proceedings, Shah Alam, Malaysia. pp. 98-101.

Majd Bellaaj, Randa Boukhris, Alima Damak, Dorra Sellami . “Possibilistic Modeling Palmprint and Fingerprint based Multimodal Biometric Recognition System”. 2016 International Image Processing Application and System conference.

Nan Dong, Fuqiang Liu, Zhipeng Li, ―Crowd Density Estimation Using Sparse Texture Features‖, Journal of Convergence Information Technology Volume 5, Number 6, August 2010.

Hayet Boughrara , Mohamed Chtourou , Chokri Ben Amar , Liming Chen. “Face recognition based on perceived facial images and multilayer perceptron neural network using constructive training algorithm”. IET Computer Vision, 2014, Vol. 8, Iss. 6, pp. 729–739.

You-yi Zheng, Ji-lai Rao , Lei Wu. “Edge Detection Methods in Digital Image Processing”. 2010 5th International conference on computer science and education Hefei, China pp.471-473.

Ceren Guzel Turhan, Hasan Sakir Bilge. “A Novel Class-wise Two-dimensional Principal Component Analysis Method for Face Recognition”.2017 IET computer vision.

Haonan Su, Cheolkon Jung. “Low Light Image Enhancement Based On Two-Step Noise Suppression”.2017 IEEE conference on Acoustic, Speech And Signal Processing. pp.1977-1981.

Tamanna Sahoo, Sndipan Pine. “Design and Simulation Of Various Edge Detection Techniques Using Matlab Simulink”.2016 International Conference On Signal Processing, Communication, Power and Embedded System(SCOPES) pp.1224-1228.

Fatma Zohra Chelali, Noureddine Cherabitt and Amar Djeradi. “Face recognition system using skin detection in RGB and YCbCr color space ”. 2015 world International Symposium On Web Application And Networking.

K. V. Arya , Abhinav Adarsh. “An Efficient Face Detection and Recognition Method for Surveillance”. 2015 International Conference On Computational intelligence And Communication Networks(CICN).pp.262-267.

Mohammad Da'san, Amin Alqudah and Olivier Debeir. “Face Detection using Viola and Jones Method and Neural Networks”. 2015 International Conference On Information Technology And Research (ICTRC2015) pp.40-43.

Guan-Chun Luh. “Face Detection Using Combination Of Skin Color Pixel Detection And Viola-Jones Face Detector”.2014 International Conference On Machine Learning And Cybernatics. pp.364-370.

Zhihong Zhao, Beibei Li. “Dynamically Optimizing Face Recognition Using PCA”. 2015 International Conference on Control, Automation and Information Sciences (ICCAIS). pp.123-127.

Firoz Mahmud, Md. Enamul Haque, Syed Tauhid Zuhori, Biprodip Pal. “Human Face Recognition Using PCA based Genetic Algorithm”.2014 International Conference on Electrical Engineering and Information & Communication Technology (ICEEICT).

Shubhendu Trivedi, “Face Recognition using Eigenfaces and distance Classifiers”, February 11, 2009.


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