Abstract:

Abstract—Advanced artificial intelligence and machine learn- ing techniques are transforming signature authentication through sophisticated convolutional neural networks (CNNs) that leverage deep learning algorithms for precise image segmentation and feature extraction. By training on comprehensive datasets of genuine and forged signatures, these AI models can analyze microscopic details of handwritten signatures with unprecedented accuracy, distinguishing authentic signatures from sophisticated forgeries through complex pattern recognition and intelligent classification techniques. The system employs computer vision algorithms to extract intricate features such as stroke dynamics, pressure variations, and unique writing characteristics, enabling rapid and reliable verification across multiple sectors by creating a robust binary classification framework that can instantaneously determine the authenticity of a signature with minimal human intervention.

Description:

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