yuansanwan Goto Github PK

adaptive-thresholder

A tool for converting poor document photos or scans into clear black and white images

awesome-ocr

A curated list of promising OCR resources

awesome-ocr-1

Links to awesome OCR projects

binarization

An implementation of some binarization methods such as Niblack, Sauvola, Wolfjolion and one based on feature space partitioning

binarizewolfjolion

Document image binarization for Project 3A @Mines_Nancy

caffe

Caffe: a fast open framework for deep learning.

calculator

C++ operator precedence parser

core-algorithm

《算法导论》(第3版) 算法集锦

ctpn

Detecting Text in Natural Image with Connectionist Text Proposal Network

deep-learning-demo

记录小润学习的深度学习例子，首先是 Caffe、TensorFlow、Theano、Keras 框架，之后再补充 Torch

deep_ocr

make a better chinese character recognition OCR than tesseract

detecttext

Detect text with stroke width transform.

electrocircuitdetection

flann

Fast Library for Approximate Nearest Neighbors

free-programming-books

:books: Freely available programming books

google-interview-university

A complete daily plan for studying to become a Google software engineer.

hello-world

practise github

laser-dewarp

Experimental methods for dewarping document images based on the use of lasers.

linesegm

Line Segmentation of Handwritten Documents using the A* Path Planning Algorithm

mathfinder

Various document layout analysis techniques are employed in order to enhance the accuracy of optical character recognition (OCR) in document images. Type-specific document layout analysis involves localizing and segmenting specific zones in an image so that they may be recognized by specialized OCR modules. Zones of interest include titles, headers/footers, paragraphs, images, mathematical expressions, chemical equations, musical notations, tables, circuit diagrams, among others. False positive/negative detections, oversegmentations, and undersegmentations made during the detection and segmentation stage will confuse a specialized OCR system and thus may result in garbled, incoherent output. In this work a mathematical expression detection and segmentation (MEDS) module is implemented and then thoroughly evaluated. The module utilizes the open source OCR software, Tesseract and the machine learning library, DLib.

mathocr

A scientific document recognition system

mathtext

TeX/LaTeX parsing and rendering

maxflow

A library that implements the maxflow-mincut algorithm.

ocr-reco

ocr character segmentation

open-ocr

Run your own OCR-as-a-Service using Tesseract and Docker

opencv

Open Source Computer Vision Library

opensource

【编程随想】收藏的开源项目清单

perspective-correction

perspective correction for document image

practice-cpp

Part of my daily plan for studying C++.

robust-text-detection

Robust Text Detection implementation based on http://www.stanford.edu/~hchen2/papers/ICIP2011_RobustTextDetection.pdf