Published Paper Details:

The biometric identi?cation systems is proposed for authentication and security purposes such as facial scanning techniques to improve accuracy and security. With the rapid development of artificial intelligence in recent years, facial recognition gives more attention. Compared with the traditional card recognition, fingerprint recognition and iris recognition, face recognition has many advantages, high concurrency, and user-friendly areas such as network security with the advancement of biometric authentication not only makes the hacker to virtually impossible to steal the password but also increases the user-friendliness in human computer-interaction. This report presents biometric Authentication using facial images by extracting texture-based LBP features stores these faces based on a matrix form. LBP-based face detection, the purpose of face detection is to determine the locations and sizes of human faces in digital images. LBP-based Face recognition, aims to identify or verify a person from a digital image or a video sequence. The system deals with webcam to capture the images of our face and we use OpenCV for loading and analysis of images. And finally, we use LBP Machine Learning algorithm and classification to detect or recognize the images of our face.