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Research Paper | Computer Science & Engineering | India | Volume 12 Issue 6, June 2023

A Novel Face Detection and Recognition System Using Machine Learning Approaches

Nitalaksheswara Rao K | Mahalakshmi A ^[2] | Rajendra Prasad K

Abstract: An image or video that was acquired with a digital camera can be used to detect, track, identify, or authenticate human faces using a computer program called face recognition. Recognition and Detection the Outpost system is made to provide resources for home security and investigators who need to explore the immediate surroundings using video data. The device can identify biometric faces in real - time footage through analysis and can provide real - time surveillance in inclement weather. "Face Detection," a type of biometric technology, is the automatic recognition of faces by computer systems when they are presented with a face. It is a characteristic that is frequently utilized in biometrics, digital photography, and social tagging. Face detection and recognition have received more research interest in recent years. Biometrics research is often focused on face detection and image or video recognition. Real - time face recognition is a fascinating field with a continually escalating challenge. Framework for application authentication using face recognition. The PCA (Principal Component Analysis) facial recognition algorithm is suggested here. A statistical technique that falls within the general category of factor analysis is called the key component analysis (PCA). The PCA's goal is to lower the size of the feature space needed to describe the data efficiently from its current high quantity of storage. For facial recognition by the PCA, a wide 1 - D pixel vector constructed from a 2 - D face image in compact primary space function elements is intended.

Keywords: Face detection, face Recognition, Image Processing, Machine learning, Biometric

Edition: Volume 12 Issue 6, June 2023,

Pages: 2730 - 2738