Deep Learning Enabled Facial Recognition Using Siamese Network
Shailendra Kumar Mishra, Ramvel S, Sharathchandra Patil, Soumyadeep Ghosh, Pruthvi R · 2024
Facial recognition technology has become increasingly vital in various applications, from security systems to personalized user experiences. By using a Siamese network, a kind of deep learning model intended to examine and identify similarities between input images, this study aims to increase the accuracy of facial recognition. Through the use of a Siamese network and a contrastive loss function, the system is able to discriminate between pairs of facial photos that are similar and those that are not. The methodology includes extensive testing to assess the network's performance once it has been trained on varying amounts of data. The paper aims to provide a robust and scalable facial recognition solution with potential applications in security, authentication, and user personalization systems.