Welcome to JJEM: A Multi-Disicplinary Journal of JNNCE, Shimoga

JJEM Seventh Issue - Volume 4 Number 1 -2020

Volume 3, Issue 1


A Novel Technique for ATM Security by Image Processing


Published:    2019-06-30


Authors


Pranesh Kulkarni, Raghavendra S.P


Abstract


Face recognition presents a challenging problem in the field of image analysis and computer vision. The security of information is becoming very significant and difficult. Security cameras are presently common with a security system in airports, offices, schools & colleges, ATM, banks and in many other locations. Face recognition is a biometric system used to identify or verify a person from a digital image. Face Recognition system is widely used in security. Face recognition system should be able to automatically detect a face in an image. This involves extracting the features from the image and then recognize the face, regardless of lighting, expression, illumination, ageing, transformations (translate, rotate and scale image) and posture, which is a difficult task. Though banking becomes easier today with the support of ATMs, it also became feeble and vulnerable. There have been countless cases of abuse that have occurred in banking transactions. Thus, there is an essential need to provide high security for banking transactions. This paper proposes the amalgamation of Face Recognition System in the identity verification process engaged in ATMs to enhance their security system.


Keywords


ATM System, Face Recognition Software (FRS), Security.