GitHub / CatExec / signature-recognition-cnn
A deep learning-based system for signature classification using CNN, HOG, and SIFT. This project segments signature images, applies feature extraction, and trains models to recognize individual signatures. Performance is evaluated using precision, recall, F1-score, and accuracy.
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License: None
Language: Jupyter Notebook
Size: 3.94 MB
Dependencies parsed at: Pending
Created at: 24 days ago
Updated at: 1 day ago
Pushed at: 1 day ago
Last synced at: 1 day ago
Topics: cnn, computer-vision, deep-learning, feature-extraction, hog-features, image-processing, machine-learning, pattern-recognition, pytorch, siamese-cnn, sift, signature-recognition, signature-verification, tensorflow