The research content of this project includes:
(1) Designing the overall architecture of the answer sheet recognition system, including system framework, hardware composition, and software development plan with primary focus on software implementation.
(2) Determining digital image processing algorithms involving image preprocessing, tilt and rotation correction, and binary transformation. Through comparative analysis of multiple processing methods combined with image characteristics, Hough transform was selected for detecting line inclination angles in images followed by rotational correction.
(3) Implementing identification of answer-marking areas and student ID regions using MATLAB software, achieving accurate extraction of student IDs and answers (both multiple-choice and single-choice questions) through optimized region detection algorithms.
MATLAB
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