Our PHP optical mark recognition (OMR) application is a powerful tool built on CodeIgniter framework, integrating OpenCV for image processing. This application is designed to automatically detect and recognize marked data from images or scanned documents, making data entry and analysis more efficient and accurate.
With the ability to process high volumes of data quickly, the OMR application offers a reliable and effective solution for tasks such as student assessment, surveys, evaluations, and other forms that require accurate and timely data capture.
Using OpenCV, the application can automatically detect and locate areas of interest within the image, such as filled-in bubbles, checkboxes, and handwritten text. It can then extract and recognize the data from these areas, converting it into a digital format that can be stored and analyzed.
The application is built with scalability in mind, allowing users to easily expand their processing capabilities as needed. It is also designed to be user-friendly, providing an intuitive interface for users to upload images or scanned documents, configure processing parameters, and view the results.
Our PHP OMR application is a powerful and reliable tool for businesses, educational institutions, and organizations that require accurate and efficient data capture and analysis. With CodeIgniter framework and OpenCV integration, this tool provides an innovative solution for automating and streamlining data processing workflows.
Our publication titled "Fault Tolerant Optical Mark Recognition" was recently published in the prestigious journal of Computers, Materials & Continua (CMC). This article is an innovative study that proposes a new approach to increase the accuracy and robustness of optical mark recognition (OMR) systems.
