Building an OMR Scanner and Test Grader with OpenCV
Building an OMR Scanner and Test Grader with OpenCV Introduction Optical Mark Recognition (OMR) technology detects and captures human-marked data from documents like surveys, tests, and assessments. It is widely used in education and professional fields to automate grading, making it fast, accurate, and cost-effective. In this article, we’ll walk through building an OMR scanner and test grader using OpenCV, a powerful computer vision library in Python. Understanding OMR Technology OMR technology enables machines to recognize marks on paper and convert them into digital data. Key aspects of OMR systems include: Accuracy: Ensures that marks are detected correctly to minimize grading errors. Speed: Rapidly processes large volumes of data. Cost-effectiveness: Reduces the need for manual data entry. Designing the ...