Abstract
A NOVEL FACE RECOGNITION APPROACH BASED ON MACHINE LEARNING TECHNIQUES
*Bharath J. and Dr. R. Balakrishna
ABSTRACT
In today's age of networked multimedia information access, face recognition has triggered a lot of curiosity. Although great progress has been made in the field of face detection and recognition for security, identity, and attendance purposes, there are still obstacles in the way of reaching human-level accuracy. Faces have the unique ability to aid human recognition, which is important in surveillance applications. Furthermore, the non-intrusive nature of these technologies leads to high collectability and acceptance, making them ideally suited for wider use. Machine learning algorithms play a critical role in facial recognition. Even if face methods focus more on face descriptor and feature extraction methods, classification techniques have an impact on recognition performance. There are various traditional classification techniques. Face detection in noisy scenes is the starting point for face recognition, which is followed by pre-processing, normalising the face samples data, feature extraction, and classification. Our experiments show that our face identification system is reliable, trustworthy, and durable, and that it can be employed in a real-world situation.
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