Displaying 1 to 9 from 9 results

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.

crnn - Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.

  •    Lua

This software implements the Convolutional Recurrent Neural Network (CRNN), a combination of CNN, RNN and CTC loss for image-based sequence recognition tasks, such as scene text recognition and OCR. For details, please refer to our paper http://arxiv.org/abs/1507.05717. UPDATE Mar 14, 2017 A Docker file has been added to the project. Thanks to @varun-suresh.

Swift-AI - The Swift machine learning library.

  •    Swift

Swift AI is a high-performance deep learning library written entirely in Swift. We currently offer support for all Apple platforms, with Linux support coming soon. Each module now contains its own documentation. We recommend that you read the docs carefully for detailed instructions on using the various components of Swift AI.

handwriting-ocr - OCR software for recognition of handwritten text

  •    Jupyter

The project tries to create software for recognition of a handwritten text from photos (also for Czech language). It uses computer vision and machine learning. And it experiments with different approaches to the problem. Proces of recognition is divided into 5 steps, starting with photo of page with text.

NeuralNet-Handwriting-iOS - A handwriting recognition example for iOS using NeuralNet

  •    Swift

A handwriting recognition example for iOS using NeuralNet. Note: this application is part of the Swift AI project. Full details about the library can be found in the main repo.

handprint - Apply different text recognition services to images of handwritten documents.

  •    Python

A Python program to apply different handwritten text recognition services to images of handwritten text pages, and produce an annotated image (and optionally more) showing the text recognized. Version 1.0.1: This version adds instructions for installing from PyPI and fixes a bug writing files downloaded from URLs.

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