OCR system for Arabic language that converts images of typed text to machine-encoded text.

A project where the license plate number is extracted from image of a vehicle using Object detection and Character recognition techniques.

OCR for recognizing Arabic text in images/ printed documents

Segmentation of Scanned Text upto Character Level

It is done using MATLAB (Matrix Laboratory). Independent Project.

This project aims at getting polynomial equation present in the image

A small computer vision project in the making. Partners: Minh Quan Huynh and Duc Minh Hoang.

License plate detection and character segmentation. [course project of Digital Image Processing]

A Deep learning model for arabic optical character recognition

Developed a License Plate Recognition System which performs plate detection, character segmentation, and character recognition to identify the Licence Plate Number. Used Open CV and Heuristics for plate detection, and Pytesseract and linear SVM for character recognition.

WebAssembly port of the ICU library's character, word, line-break, and sentence segmentation methods.

Implementation of Handwritten Text Recognition Systems using TensorFlow

A lightweight, heuristic-based algorithm for segmenting characters in Iranian license plates using OpenCV. Features robust handling of shadows, noise, and connected characters without Deep Learning, achieving 98.68% accuracy.

This repository offers a simple OCR library that leverages system APIs like VisionKit and Media OCR for accurate text recognition. Check out the examples and start integrating with ease! 🐙✨

This project implements a series of exercises related to image processing, compression, filtering, segmentation, and optimization. The exercises explore key concepts in computer vision and image analysis, including quantization, Fourier transform, filtering, denoising, and object detection.

Contains code for character segmentation ,etc.

Image Processing and Character Segmentation for Bengali Script