Implementing Deep Learning: A Novel Approach in CNNs for Face Recognition

Considering the vast amount of data available, it is clear that facial recognition and related technologies have made great progress in recent years. Facial recognition is especially important for law enforcement and forensic science in verifying someone's identity. Many researchers are working on using deep learning and machine learning to identify and classify people accurately based on their facial features. The first part of this review focuses on deep learning methods for facial identification and matching. The second part looks at a new technique that improves the accuracy of facial recognition algorithms by using large datasets for training. The paper discusses different ways to identify facial features from images and videos and proposes methods to improve accuracy, achieving 99.50% and 96.75% on the LFW and YTF datasets, respectively.