Facial recognition using Convolutional Neural Networks (CNN)

Facial recognition using Convolutional Neural Networks (CNN)

PRADEEP J

Department of Computer Science and Engineering,

Adhi College of Engineering and Technology, Kanchipuram – 631 605.

RADHIKA R

Assistant Professor, Department of Computer Science and Engineering,

Adhi College of Engineering and Technology, Kanchipuram- 631 605.

NANDA KUMAR D

Department of Computer Science and Engineering,

Adhi College of Engineering and Technology, Kanchipuram – 631 605.

MAMILLAPALLI AJIT KUMAR

Department of Computer Science and Engineering,

Adhi College of Engineering and Technology, Kanchipuram – 631 605.

GUTLAPALLI SANDEEP CHOWDARY

Department of Computer Science and Engineering,

Adhi College of Engineering and Technology, Kanchipuram – 631 605.

ABSTRACT

Face recognition is a common biometric authentication technique used to analyse the face images and extract   useful recognition information from them, which are always called as a feature vector that is used to distinguish the biological features. Face Recognition process begins with extracting the coordinates of features such as width of mouth, width of eyes, pupil, and compare it with a stored face template. The aim of the proposed system is to design a system that performs face recognition based on detecting the faces with a system to identify the accuracy of a person in the system while detecting faces. OpenCV library and image processing algorithms is used to detect and extract the face from an image thereby storing samples in order to train the system.

Keywords - Haarcascade algorithm, OpenCV, Convolutional Neural Networks, Deep Learning.