Mechatronics
Vol. 41 No. 01 (2026): Proceedings of the Faculty of Technical Sciences
IMPLEMENTATION OF A SIAMESE NEURAL NETWORK FOR FACE VERIFICATION BASED ON ONE-SHOT PREDICTION
Abstract
This paper presents the implementation of a Siamese neural network for face verification. It describes the process of dataset creation, image preprocessing, as well as the design and training of the network. The objective of this work is to apply one-shot prediction to train the system using a small amount of data. Experimental results and comparisons with other models are provided, along with final conclusions.
References
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