android-ocr - Experimental optical character recognition app

  •        52

An experimental app for Android that performs optical character recognition (OCR) on images captured using the device camera. Runs the Tesseract OCR engine using tess-two, a fork of Tesseract Tools for Android.

https://github.com/rmtheis/android-ocr

Tags
Implementation
License
Platform

   




Related Projects

tess-two - Fork of Tesseract Tools for Android

  •    C

A fork of Tesseract Tools for Android (tesseract-android-tools) that adds some additional functions. Tesseract Tools for Android is a set of Android APIs and build files for the Tesseract OCR and Leptonica image processing libraries. The source code for these dependencies is included within the tess-two/jni folder.

EasyOCR - Java OCR 识别组件(基于Tesseract OCR 引擎)。能自动完成图片清理、识别 CAPTCHA 验证码图片内容的一体化工作。Java Image cleanup, OCR recognition component (based Tesseract OCR engine, automatically cleanup image and identification CAPTCHA verification code picture content)

  •    

EasyOCR is a Java language using OCR recognition engine (based Tesseract). By means of a few simple API, the Java language can be used to complete the picture content identification work. And integrated image cleanup, recognition CAPTCHA image, bill notes and other content integration efforts. EasyOCR engine supports plugin programming, ETD templates support, provide a graphical ETD template design tools (EasyTemplateDesigner GUI). EasyOCR not only provide services for consumers, but mainly oriented to provide localized development SDK integration with C/S, B/S and Android mobile terminal native integration projects.

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

  •    Go

Golang OCR package, by using Tesseract C++ library. Check Dockerfile for more detail of installation, or you can just try by docker run -it --rm otiai10/gosseract.

pyocr - A Python wrapper for Tesseract and Cuneiform

  •    Python

PyOCR is an optical character recognition (OCR) tool wrapper for python. That is, it helps using various OCR tools from a Python program.It has been tested only on GNU/Linux systems. It should also work on similar systems (*BSD, etc). It may or may not work on Windows, MacOSX, etc.

pytesseract - A Python wrapper for Google Tesseract

  •    Python

Python-tesseract is an optical character recognition (OCR) tool for python. That is, it will recognize and "read" the text embedded in images. Python-tesseract is a wrapper for Google's Tesseract-OCR Engine. It is also useful as a stand-alone invocation script to tesseract, as it can read all image types supported by the Python Imaging Library, including jpeg, png, gif, bmp, tiff, and others, whereas tesseract-ocr by default only supports tiff and bmp. Additionally, if used as a script, Python-tesseract will print the recognized text instead of writing it to a file.


tess4j - Java JNA wrapper for Tesseract OCR API

  •    Java

# Tess4J ## Description: A Java JNA wrapper for Tesseract OCR API. Tess4J is released and distributed under the Apache License, v2.0. ## Features: The library provides optical character recognition (OCR) support for: TIFF, JPEG, GIF, PNG, and BMP image formats Multi-page TIFF images PDF document format

JavaOCR

  •    Java

Java OCR is an Optical Character Recognition algorithm based on a mean squared recognizer. This tool also includes utilities to trace and extract characters.

Tessnet2

  •    CSharp

A .NET 2.0 Open Source OCR assembly using Tesseract engine.

SwiftOCR - Fast and simple OCR library written in Swift

  •    Swift

SwiftOCR is a fast and simple OCR library written in Swift. It uses a neural network for image recognition. As of now, SwiftOCR is optimized for recognizing short, one line long alphanumeric codes (e.g. DI4C9CM). We currently support iOS and OS X. This is a really good question.

tesseract-ocr-for-php - A wrapper to work with Tesseract OCR inside PHP.

  •    PHP

A wrapper to work with Tesseract OCR inside PHP. ‼️ This library depends on Tesseract OCR, version 3.03 or later.

GOCR

  •    C

GOCR is an OCR (Optical Character Recognition) program, developed under the GNU Public License. It converts scanned images of text back to text files. Joerg Schulenburg started the program, and now leads a team of developers.

JS-OCR-demo - JavaScript optical character recognition demo

  •    Javascript

JavaScript optical character recognition demo. Check it out here.

ocr - Neural network OCR.

  •    Javascript

Trains a multi-layer perceptron (MLP) neural network to perform optical character recognition (OCR). The training set is automatically generated using a heavily modified version of the captcha-generator node-captcha. Support for the MNIST handwritten digit database has been added recently (see performance section).

tesseract - Tesseract Open Source OCR Engine (main repository)

  •    C++

This package contains an OCR engine - libtesseract and a command line program - tesseract. The lead developer is Ray Smith. The maintainer is Zdenko Podobny. For a list of contributors see AUTHORS and GitHub's log of contributors.

node-tesseract - A simple wrapper for the Tesseract OCR package

  •    Javascript

There is a hard dependency on the Tesseract project. You can find installation instructions for various platforms on the project site. For Homebrew users, the installation is quick and easy.

ANPR - License plate recognition for iOS using OpenCV & Tesseract OCR Engine

  •    C++

#ANPR Source code for a License plate recognition (ANPR) demo for iOS using OpenCV and Tesseract OCR engine. I'm open to any pull request that can improve this project.

Conjecture

  •    C++

Conjecture is a modular, extensible, open-source C++ framework for Optical Character Recognition (OCR). It is not a single OCR, but rather an extensible collection of OCRs that can be explored, compared, extended and modified within a unified environment

Java OCR

  •    Java

Java OCR is a suite of pure java libraries for image processing and character recognition. Small memory footprint and lack of external dependencies makes it suitable for android development. Provides modular structure for easier deployment

mlp-character-recognition

  •    Javascript

Trains a multi-layer perceptron (MLP) neural network to perform optical character recognition (OCR).