Download
http://omr-ai.sourceforge.net/ described how to use MySQL and PHP for OMR. The PHP scripts were very much dependent on scanned page size and resolution.
I have written the OMR page format and PHP scripts which are more flexible in nature. This script used horizontal and vertical guides to identify area to be analysed for MCQ answer checking and also identify and correct tilt. It is tailor made for A4 page size, but resolution can be varied with little impect on results.
The answer page and scripts can be modified easily with little change in major functions of the library.
Features
- Optical Mark Recognition
- PHP
- MySQL
- MCQ checking
- Education Technology
Categories
Handwriting RecognitionLicense
Creative Commons Attribution LicenseFollow Optical Mark Recognition MySQL and PHP
nel_h2
Enterprise-grade ITSM, for every business
Freshservice is an intuitive, AI-powered platform that helps IT, operations, and business teams deliver exceptional service without the usual complexity. Automate repetitive tasks, resolve issues faster, and provide seamless support across the organization. From managing incidents and assets to driving smarter decisions, Freshservice makes it easy to stay efficient and scale with confidence.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Optical Mark Recognition MySQL and PHP!