EAST paper implementation repository modified for custom detection tasks.

EAST detect and Tesseract recognize text in image

With SnapText, you can easily extract and utilize text from images for various applications, from document processing to data extraction tasks. Give it a try and see how it can streamline your OCR workflows!

A real-time text detection on natural scene images

Decode text/code easily on windows/linux

Detection and segmentation of diseases on wheat leaves.

In this project we try to try to find the limitation of the Google Tesseract OCR for Natural Scene Text Detection and improve upon it.

Text Detection using Pretrained CRAFT model in MATLAB

An end to end model for detection and recognition of images

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

This repository contains code for Scene Text OCR following the famous CRNN model. The detection part is handled by EAST and the recognition is done by CRNN.

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.

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.

we present Deep Learning Laboratory’s Traffic Signboards Dataset (DLL-TraffSiD) to develop multi-lingual text detection and recognition methods for traffic signboards.

Seven Segment Digit Recognition in MATLAB

A tensorflow implementation of EAST for text detector and text recognition