There are 13 repositories under optical-mark-recognition topic.
:pencil: Exam bubble sheet scorer. Created with OpenCV and Python.
Complex data extraction and orchestration framework designed for processing unstructured documents. It integrates AI-powered document pipelines (GenAI, LLM, VLLM) into your applications, supporting various tasks such as document cleanup, optical character recognition (OCR), classification, splitting, named entity recognition, and form processing
This project is designed to allow easy creation of OMR (Optical Mark Recognition) templates and provides a bulk scanner which can be used for processing large amounts of images from a tray fed scanner.
This project is designed to create OMR templates and provides a scanner which can be used for processing large amounts of images.
Theia OMR Scanner is a openCV based Optical Mark Reader (OMR) application for pre-designed and customizable MCQ bubble sheets. IIt's GUI provide a readymade bubble sheet to be used in educational institutes.
Image Processing and Manipulation using python OpenCV
2d Images processing system with FPGA (Zynq 7k) from two dragster linescanner (DR-2k-7)
.NET library for communicating with the Aspose.OMR Cloud API
AIMER: Artificial Intelligence Mark Evaluator & Recognizer---Performance task for the AP CSP exam
App for automatic grading test answers - A Digital Signal Processing OpenCV Project
A small example of reading OMR marksheet and generate percentage using OpenCV and Python
PHP library for communicating with the Aspose.OMR Cloud API
Python library for communicating with the Aspose.OMR Cloud API
MCQ and OEQ paper marking automated by using deep learning model that refer for optical mark detection
program to read the scores entered in an assessment sheet
A Final project for semester 1 of E-AI SPSM.
Java library for communicating with the Aspose.OMR Cloud API
Perl library for communicating with the Aspose.OMR Cloud API
Ruby library for communicating with the Aspose.OMR Cloud API
Scoring paper-based test using OMR
automated grading of MCQ exams using optical mark recognition (OMR) from the command line and in the browser via WebAssembly
In this project we work to know all the contours in the image and how to deal with specific part of image and splitting it to work on it wihtout another part of image.
Automated MCQ Grading with Computer Vision and Optical Mark Recognition (OMR) Technology✅