Face Recognition using Deep Learning

Identifying a person primarily relies on their facial features, which even distinguish identical twins. As result, recognition and identification become crucial for distinguishing individuals. Biometric authentication technology, specifically systems, are utilized to verify one’s identity. This technology has gained popularity in modern applications, such as phone unlock criminal home security systems. Due its reliance image rather than external factors like card or key, this method is considered more secure. The process of recognizing involves two primary steps: face detection identification. article delves into the concept developing system utilizing Python’s OpenCV library through deep learning. exceptional accuracy, learning an ideal recognition. proposed approach Haar cascade techniques detection, followed by following steps To begin with, features extracted combination CNN methods linear binary pattern histogram (LBPH) algorithm. For attendance be marked “present,” check-in check-out times detected must legitimate. If not, will displayed “unknown.”