Handwritten Answer Sheet Digitization and Similarity-Based Copying Pattern Detection Using OCR and NLP

The proposed system combines OCR/HTR, NLP, and semantic similarity techniques to support the digitization and evaluation of handwritten examination answer sheets. It converts handwritten responses into machine-readable text and analyses them against reference answers to provide evaluation support and suggested marks. The system also compares responses submitted by different students to identify highly similar answers that may require further examination. The automated results are intended to assist teachers rather than replace their judgement, particularly in cases involving subjective answers, unclear handwriting, or recognition errors. Overall, the proposed approach provides an integrated framework for handwritten answer analysis and similarity-based copying-pattern detection, while future evaluation across diverse datasets and educational contexts can help assess its practical effectiveness.

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