EAST detect and Tesseract recognize text in image

Identifying Books on Library Shelves using Supervised Deep Learning.

A real-time text detection on natural scene images

A simple captcha breaker.

Used Deep Convolutional Neural Networks to detect Hindi handwritten text with an accuracy of 98.5% and immunes to hazy background. This Real-time Image pre-processing using OpenCV is developed by comparing the various classifiers and algorithms like KNN, SVM etc.

Decode text/code easily on windows/linux

An end to end model for detection and recognition of images

A tensorflow implementation of EAST for text detector and text recognition

Open Models For Document Intelligence

Epicurus is a Deep OCR Engine which can read English characters, words and texts in documents, real world scenes. It's a light weight model aimed at faster output and general purpose applications.

Utilizing the advanced EAST (Efficient and Accurate Scene Text Detection) algorithm, this repository detects text within JPG images with high accuracy and speed. A blend of machine learning and computer vision for robust text recognition.

Number plate recognition using OCR

CharNet: Convolutional Character Networks with added preprocesses and C++ postprocess

Word detection and character recognition for video text identification with Python and TensorFlow

Микросервис, позволяющий распознавать информацию со справок, учитывая в том числе табличное форматирование

Text-Detection-Using-Python

In the present project, the problem of the detection and the recognition of bus line numbers of public transport in the city of Córdoba is addressed, using images obtained by standard mobile devices.

Detection and segmentation of diseases on wheat leaves.