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Everything about Optical mark recognition
Capturing of human-marked data from document forms
Optical mark recognition (OMR) collects data from people by identifying markings on a paper. OMR enables the hourly processing of hundreds or even thousands of documents. A common application of this technology is used in exams, where students mark cells as their answers. This allows for very fast automated grading of exam sheets. Wikipedia →
🧭 Start here: a 6-step reading path
- Read the overview: Optical mark recognitionA 5-minute orientation
- Skim a recent paper: Personal mark density-based high-performance Optical Mark Recognition (OMR) system using K-means clustering algorithmInfluential work since 2022
- Pick up a classic book: Bulletin of the United States Army Medical DepartmentThe most-reprinted book on the subject
- Read the landmark paper: Coverless Image Steganography Based on Optical Mark Recognition and Machine LearningCited 46 times
- Go sideways: Scantron CorporationA closely related topic
- Go sideways: Forms processingA closely related topic
📖 Definitions
No dictionary entry for this exact phrase.
🗂️ The subject at a glance
🏆 Landmark papers (most cited)
Coverless Image Steganography Based on Optical Mark Recognition and Machine Learning
Optical Mark Recognition: Advances, Difficulties, and Limitations
A new method of mark detection for software-based optical mark recognition
OMRNet: A lightweight deep learning model for optical mark recognition
An Image Processing Oriented Optical Mark Recognition and Evaluation System
An Enhanced Fault Tolerance Algorithm for Optical Mark Recognition Using Smartphone Cameras
Optical Mark Recognition in Student Continuous Assessment
Fault Tolerant Optical Mark Recognition
🆕 Influential since 2022
Personal mark density-based high-performance Optical Mark Recognition (OMR) system using K-means clustering algorithm
Optical Mark Recognition using Modify Bi-directional Associative Memory
Unsupervised Optical Mark Recognition on Answer Sheets for Massive Printed Multiple-Choice Tests
An Automated Entrance Examination Checker Using Optical Mark Recognition
Optical Mark Recognition Techniques for Multiple-Choice Tests: A Comprehensive Review
📚 Books worth reading
Bulletin of the United States Army Medical DepartmentUnited States. Army Medical Service. · 1944
Handbook of Biometric Anti-SpoofingSébastien Marcel, Mark S. Nixon · 2014
Handbook of Iris RecognitionMark J. Burge · 2013
Digital planetGeorge Beekman, Ben Beekman · 2011
Handbook of Visual Display TechnologyJanglin Chen · 2012
Industrial Image ProcessingChristian Demant · 1999- 📕Operations Research for Unmanned SystemsJeffrey R. Cares, Dickmann, John Q., Jr. · 2016
Feature Extraction & Image Processing for Computer VisionMark Nixon · 2012
Ranked by number of editions on Open Library, a rough measure of how lasting a book is.
🔗 Related topics
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