Detection of Face using Viola Jones and Recognition using Back Propagation Neural Network

TL;DR

This paper combines Viola-Jones algorithm for face detection with Back Propagation Neural Network for face recognition, aiming to improve accuracy in security and surveillance applications.

Contribution

It presents a hybrid approach integrating Viola-Jones detection with BPNN recognition, which is a novel combination for face identification tasks.

Findings

Effective face detection using Viola-Jones algorithm.

Successful face recognition with Back Propagation Neural Network.

Potential for application in security and law enforcement.

Abstract

Detection and recognition of the facial images of people is an intricate problem which has garnered much attention during recent years due to its ever increasing applications in numerous fields. It continues to pose a challenge in finding a robust solution to it. Its scope extends to catering the security, commercial and law enforcement applications. Research for moreover a decade on this subject has brought about remarkable development with the modus operandi like human computer interaction, biometric analysis and content based coding of images, videos and surveillance. A trivial task for brain but cumbersome to be imitated artificially. The commonalities in faces does pose a problem on various grounds but features such as skin color, gender differentiate a person from the other. In this paper the facial detection has been carried out using Viola-Jones algorithm and recognition of face has been done using Back Propagation Neural Network (BPNN).