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

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

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