idmatch - Match faces on id cards with OCR capabilities.

  •        20

Be sure to set your Python paths in Makefile.config first.

https://idmatch.co/
https://github.com/maddevsio/idmatch

Tags
Implementation
License
Platform

   




Related Projects

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


#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.

libface - Face Recognition Library


Libface is a cross platform framework for developing face recognition algorithms and testing its performance. The library uses OpenCV 2.0 and aims to be a middleware for developers that don’t have to include any OpenCV code in order to use face recognition and face detection detection.

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


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

pytesseract - A Python wrapper for Google Tesseract


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.

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


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.


ruby-tesseract-ocr - A Ruby wrapper library to the tesseract-ocr API.


This wrapper binds the TessBaseAPI object through ffi-inline (which means it will work on JRuby too) and then proceeds to wrap said API in a more ruby-esque Engine class. To make this library work you need tesseract-ocr and leptonica libraries and headers and a C++ compiler.

Face Detection For Windows Phone 7


A library for performing face detection on windows phone 7. This library uses the same algorithms and detection models as OpenCV and is written in C# and built for the Windows Phone. Also includes a camera user control that supports automated taking of photos and showing camer...

pyocr - A Python wrapper for Tesseract and Cuneiform


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.

Tesseract-iPhone-Demo - Demo iPhone app utilizing the tesseract library for OCR


OCRDemo is a demo application that utilizes the Tesseract library (http://code.google.com/p/tesseract-ocr/) as a static library compiled under Mac OS 10.6 using the shell script found at http://robertcarlsen.net/2009/07/15/cross-compiling-for-iphone-dev-884. The program is only meant to provide a demonstration of the OCR library and it’s abilities on the iPhone, the program is not optimized in any way.

android-ocr - Experimental optical character recognition app


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.

tess-two - Fork of Tesseract Tools for Android


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.

faint - The Face Annotation Interface


Java framework for face detection and face recognition based on different plugin and filter types. Includes Eigenfaces in pure Java, OpenCV detection via JNI, integration of the Betaface.com Web Service, skin color filter, Adobe XMP Export and a nice GUI

rtesseract - Ruby library for working with the Tesseract OCR.


Ruby library for working with the Tesseract OCR. Atention: Version 1.0.0 works fine with Ruby 2.0 and tesseract 3.0 and lower versions of rtesseract works fine with Ruby 1.8 and tesseract 2.0.4.

tesseract-ios - Tesseract OCR for iOS


Tesseract-ios is an Objective-C wrapper for Tesseract OCR. This project couldn't exist without the Ângelo Suzuki's blog post. A lot of code came from his article.

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


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.

tesseract - A .Net wrapper for tesseract-ocr


A .NET wrapper for tesseract-ocr 3.04. Since tesseract and leptonica binaries are compiled with Visual Studio 2015 you'll need to ensure you have the Visual Studio 2015 Runtime installed.

tess4j - Java JNA wrapper for Tesseract OCR API


# 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

simple-ocr-opencv - A simple python OCR engine using opencv


A simple pythonic OCR engine using opencv and numpy. In order for OCR to be performed on a image, several steps must be performed on the source image. Segmentation is the process of identifying the regions of the image that represent characters.

pdfocr - Adds text to PDF files using the cuneiform OCR software


pdfocr adds an OCR text layer to scanned PDF files, allowing them to be searched. It currently depends on Ruby 1.8.7 or above, and uses ocropus, cuneiform, or tesseract for performing OCR. For more details, see the manpage.