FACE DETECTION AND RECOGNITION USING HAAR CLASSIFIER AND LBP HISTOGRAM

Indrajit Das, Indrasom Gangopadhyay, Anulekha Chatterjee

Abstract


Facial recognition technology is the process for identifying or verifying a face from digital images. The need for face recognition has been of real importance with the development of modern society. Detection and recognition of faces has been on the rise worldwide owing the requirement for security for economic transactions, authorization, national safety and security and other important factors. The technology comprises of face detection, database creation and face recognition. This paper presents a new approach of face identification using LBP method and Haar-like features. The first step is face detection which is done using Haar cascade classifier. After detection, a face is saved in the database. Then the faces from the database are passed through the face recognition algorithm. The Local Binary Pattern Histogram (LBPH) method is used for face recognition. The performance of face detection can be seen to produce maximum error of 1.6%, 2.1% and 0.8% in case of Real-Time video, image file and video file respectively which may be considered accurate. The recognition algorithm produces maximum error of 0.4% which may be considered accurate as well.

Keywords


Face Detection; Haar cascade; Local Binary Pattern Histogram; Face recognition; Haar Features; Integral image

Full Text:

PDF

References


Z.Wang and F.Gao, “An Embedded Parallel Face Detection System Based on Multicore Processor”, IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC), 2017, pp. 2684-2688, ISBN: 978-1-4673-8979-2.

P.Ji, Y. Kim, Y. Yang and Y.S.Kim, “Face Occlusion Detection Using Skin Color Ratio and LBP Features for Intelligent Video Surveillance Systems”, Federated Conference on Computer Science and Information Systems (FedCSIS), 2016, pp. 253–259, ISBN: 978-8-3608-1090-3.

T.Li, W.Hou, F.Lyu, Y.Lei and C.Xiao, “Face Detection based-on Depth Information Using HOG-LBP”, 6th International Conference on Instrumentation & Measurement, Computer, Communication and Control, 2016, pp.779-784, ISBN: 978-1-5090-1195-7.

B.V.Thiyagarajan, A.Mayur, B.Ravina, and G.Akilesh, “LBP-Haar Multi-Feature Pedestrian Detection for Auto-Braking and Steering Control System”, International Conference on Computational Intelligence and Communication Networks (CICN), 2015, pp. 1527-1531, ISBN: 978-1-5090-0077-7.

S.A.A.M Faudzi and N.Yahya, “Evaluation of LBP – Based Face Recognition Techniques”, International Conference on Intelligent and Advanced Systems (ICIAS), 2014, pp. 1-6, ISBN: 978-1-4799-4653-2.

C.Lin, J.T.Fu, S.H.Wang and C.Huang, “New Face Detection Method Based on Multi-Scale Histograms”, IEEE 2nd International Conference on Multimedia Big Data, 2016, pp.229-232, ISBN: 978-1-5090-2179-6.

S.Lee, S.Jang, J.Kim and B.Choi, “A Hardware Architecture of Face Detection for Human-robot Interaction and its Implementation”, IEEE International Conference on Consumer Electronics-Asia (ICCE-Asia), 2016, pp. 1 -2 ISBN: 978-1-5090-2743-9.

S. Naveen, R.S. Fathima and R.S. Moni, “Face Recognition and Authentication using LBP and BSIF mask detection and Elimination”, International Conference on Communication Systems and Networks (ComNet), International Conference, Thiruvananthapuram, India, 2016, pp.99-102, ISBN: 978-1-5090-3349-2.

Z.Jun, H. Jizhao, T.Zhenglan and W. Feng, “Face detection based on LBP”, 2017 IEEE 13th IEEE International Conference on Electronic Measurement & Instruments (ICEMI), 2017, pp. 421-425, ISBN: 978-1-5090-5035-2.

Z.Liu, L.Lv and Y Wu, “Development of face Recognition System Based on PCA and LBP for Intelligent Anti-Theft Doors”, 2nd IEEE International Conference Computer and Communications (ICCC), 2016, pp. 341-346, ISBN: 978-1-4673-9026-2.

Y.P. Chen, C.H. Liu , K. Y. Chou and S.Y. Wang, “Real-time and Low-memory Multi-face Detection System Design based on Naive Bayes Classifier using FPGA”, International Automatic Control Conference (CACS), 2016, pp. 7-12, ISBN: 978-1-5090-4109-1.

I.S.Z.Ugli and B.M.M. Ugli, “ Optimization detection on smiling and opening eyes in faces with algorithm LBP”, International Conference on Information Science and Communications Technologies (ICISCT),2016, pp. 1-4, 978-1-5090-3546-5.




DOI: https://doi.org/10.26483/ijarcs.v9i2.5815

Refbacks

  • There are currently no refbacks.


Bookmark and Share


Copyright (c) 2018 International Journal of Advanced Research in Computer Science