Detect handwritten words in a text-line (classic image processing method).

Overview

Word segmentation

Implementation of scale space technique for word segmentation as proposed by R. Manmatha and N. Srimal. Even though the paper is from 1999, the method still achieves good results, is fast, and is easy to implement. The algorithm takes an image of a line as input and outputs the segmented words.

example

Run demo

Go to the src/ directory and run the script python main.py. The images from the data/ directory (taken from IAM dataset) are segmented into words and the results are saved to the out/ directory.

Documentation

An anisotropic filter kernel is applied to the input image to create blobs corresponding to words. After thresholding the blob-image, connected components are extracted which correspond to words.

Parameters

Most of the parameters of the function wordSegmentation deal with the shape of the filter kernel:

  • img: grayscale uint8 image of the text-line to be segmented.
  • kernelSize: size of filter kernel, must be an odd integer.
  • sigma: standard deviation of Gaussian function used for filter kernel.
  • theta: approximated width/height ratio of words, filter function is distorted by this factor.
  • minArea: ignore word candidates smaller than specified area.

The function prepareImg can be used to convert the input image to grayscale and to resize it to a fixed height:

  • img: input image.
  • height: image will be resized to fit specified height.

Algorithm

The illustration below shows how the algorithm works:

  • top left: input image.
  • top right: filter kernel is applied.
  • bottom left: blob image after thresholding.
  • bottom right: bounding boxes around words in original image.

illustration

Results

This algorithm gives good results on datasets with large inter-word-distances and small intra-word-distances like IAM. However, for historical datasets like Bentham or Ratsprotokolle results are not very good and more complex approaches should be used instead (e.g., a neural network based approach as implemented in the WordDetectorNN repository).

Owner
Harald Scheidl
Interested in computer vision, deep learning, C++ and Python.
Harald Scheidl
A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約

Scene Text Localization & Recognition Resources Read this institute-wise: English, 简体中文. Read this year-wise: English, 简体中文. Tags: [STL] (Scene Text L

Karl Lok (Zhaokai Luo) 901 Dec 11, 2022
零样本学习测评基准,中文版

ZeroCLUE 零样本学习测评基准,中文版 零样本学习是AI识别方法之一。 简单来说就是识别从未见过的数据类别,即训练的分类器不仅仅能够识别出训练集中已有的数据类别, 还可以对于来自未见过的类别的数据进行区分。 这是一个很有用的功能,使得计算机能够具有知识迁移的能力,并无需任何训练数据, 很符合现

CLUE benchmark 27 Dec 10, 2022
An Implementation of the FOTS: Fast Oriented Text Spotting with a Unified Network

FOTS: Fast Oriented Text Spotting with a Unified Network Introduction This is a pytorch re-implementation of FOTS: Fast Oriented Text Spotting with a

GeorgeJoe 171 Aug 04, 2022
A Vietnamese personal card OCR website built with Django.

Django VietCardOCR Installation Creation of virtual environments is done by executing the command venv: python -m venv venv That will create a new fol

Truong Hoang Thuan 4 Sep 04, 2021
(CVPR 2021) Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds

BRNet Introduction This is a release of the code of our paper Back-tracing Representative Points for Voting-based 3D Object Detection in Point Clouds,

86 Oct 05, 2022
A Screen Translator/OCR Translator made by using Python and Tesseract, the user interface are made using Tkinter. All code written in python.

About An OCR translator tool. Made by me by utilizing Tesseract, compiled to .exe using pyinstaller. I made this program to learn more about python. I

Fauzan F A 41 Dec 30, 2022
TensorFlow Implementation of FOTS, Fast Oriented Text Spotting with a Unified Network.

FOTS: Fast Oriented Text Spotting with a Unified Network I am still working on this repo. updates and detailed instructions are coming soon! Table of

Masao Taketani 52 Nov 11, 2022
A python screen recorder for low-end computers, provides high quality video output.

RecorderX - v1.0 A screen recorder made in Python with the help of OpenCv, it has ability to record your screen in high quality. No matter what your P

Priyanshu Jindal 4 Nov 10, 2021
OCR of Chicago 1909 Renumbering Plan

Requirements: Python 3 (probably at least 3.4) pipenv (pip3 install pipenv) tesseract (brew install tesseract, at least if you have a mac and homebrew

ted whalen 2 Nov 21, 2021
The code for CVPR2022 paper "Likert Scoring with Grade Decoupling for Long-term Action Assessment".

Likert Scoring with Grade Decoupling for Long-term Action Assessment This is the code for CVPR2022 paper "Likert Scoring with Grade Decoupling for Lon

10 Oct 21, 2022
Zoom , GoogleMeets에서 Vtuber 데뷔하기

EasyVtuber Facial landmark와 GAN을 이용한 Character Face Generation Google Meets, Zoom 등에서 자신만의 웹툰, 만화 캐릭터로 대화해보세요! 악세사리는 어느정도 추가해도 잘 작동해요! 안타깝게도 RTX 2070

Gunwoo Han 140 Dec 23, 2022
Bu uygulamada Python ve Opencv kullanarak bilgisayar kamerasından yüz tespiti yapıyoruz.

opencv_yuz_bulma Bu uygulamada Python ve Opencv kullanarak bilgisayar kamerasından yüz tespiti yapıyoruz. Bilgisarın kendi kamerasını kullanmak için;

Ahmet Haydar Ornek 6 Apr 16, 2022
An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports.

Optical_Character_Recognition An Optical Character Recognition system using Pytesseract/Extracting data from Blood Pressure Reports. As an IOT/Compute

Ramsis Hammadi 1 Feb 12, 2022
An Implementation of the seglink alogrithm in paper Detecting Oriented Text in Natural Images by Linking Segments

Tips: A more recent scene text detection algorithm: PixelLink, has been implemented here: https://github.com/ZJULearning/pixel_link Contents: Introduc

dengdan 484 Dec 07, 2022
Image processing using OpenCv

Image processing using OpenCv Write a program that opens the webcam, and the user selects one of the following on the video: ✅ If the user presses the

M.Najafi 4 Feb 18, 2022
Toolbox for OCR post-correction

Ochre Ochre is a toolbox for OCR post-correction. Please note that this software is experimental and very much a work in progress! Overview of OCR pos

National Library of the Netherlands / Research 117 Nov 10, 2022
Rubik's Cube in pygame with OpenGL

Rubik Rubik's Cube in pygame with OpenGL The script show on the screen a Rubik Cube buit with OpenGL. Then I have also implemented all the possible mo

Gabro 2 Apr 15, 2022
An OCR evaluation tool

dinglehopper dinglehopper is an OCR evaluation tool and reads ALTO, PAGE and text files. It compares a ground truth (GT) document page with a OCR resu

QURATOR-SPK 40 Dec 20, 2022
Code release for our paper, "SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo"

SimNet: Enabling Robust Unknown Object Manipulation from Pure Synthetic Data via Stereo Thomas Kollar, Michael Laskey, Kevin Stone, Brijen Thananjeyan

68 Dec 14, 2022
QuanTaichi: A Compiler for Quantized Simulations (SIGGRAPH 2021)

QuanTaichi: A Compiler for Quantized Simulations (SIGGRAPH 2021) Yuanming Hu, Jiafeng Liu, Xuanda Yang, Mingkuan Xu, Ye Kuang, Weiwei Xu, Qiang Dai, W

Taichi Developers 119 Dec 02, 2022