Repository "signature-recognition-cnn" has been updated and released as version v3.7.5. This update enhances the deep learning system for signature classification, incorporating CNN, HOG, and SIFT methodologies. Improvements include refined segmentation, robust feature extraction, and optimized model training for precise identification of signatures. Performance metrics such as precision, recall, F1-score, and accuracy have been utilized to evaluate the system's effectiveness.