TranHuuDat2004/handwriting-signature-recognition
Developed a machine learning model for authenticating handwritten signatures. This project explores techniques for feature extraction and classification to verify signature authenticity.
This project helps verify the authenticity of handwritten signatures by identifying the original writer. You input scanned images of signatures, and the system tells you which person likely wrote it. It's designed for professionals who need to confirm the authorship of documents or analyze forensic evidence.
Use this if you need an automated way to determine the probable writer of a handwritten signature from a collection of known examples.
Not ideal if you need to detect subtle forgeries without a reference set of known writers, or if you require real-time, high-volume signature verification for financial transactions.
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Last pushed
Oct 16, 2025
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