The open source extract transaction infomation by using OCR.

Overview

Transaction OCR

Mã nguồn trích xuất thông tin transaction từ file scaned pdf, ở đây tôi lựa chọn tài liệu sao kê công khai của Thuy Tien. Mã nguồn có thể ứng dụng để giải quyết bài toán liên quan đến trích xuất thông tin văn bản từ hình ảnh (OCR - Optical Character Recognition) có cấu trúc nội dung xác định và với độ dài các dòng thông tin (row) bất kì như thông tin giao dịch, hóa đơn mua hàng,... Mã nguồn lựa chọn Cloud Vision API đại diện cho OCR model để có được độ chính xác cao, hoặc bạn có thể sử dụng model có sẵn như Vietocr hoặc có thể tự build custom OCR tiếng Việt từ clovaai: text-detectiontext-recognition) mà tôi cho là khá tốt.

Getting Started

Dependency

git clone https://github.com/hungtooc/transaction_ocr.git

pip install -r requirements.txt

1. Repair data input

1.1 Download raw data

1.2 Convert pdf files to image

PDF password: [email protected]

python tools/pdf-to-images.py --pdf-password [email protected]
usage: pdf-to-images.py [-h] [--pdf-dir PDF_DIR] [--output-dir OUTPUT_DIR] [--pdf-password PDF_PASSWORD] [--from-page-no FROM_PAGE_NO] [--to-page-no TO_PAGE_NO] [--fix-page-number FIX_PAGE_NUMBER]

optional arguments:
  -h, --help            show this help message and exit
  --pdf-dir PDF_DIR     dir to pdf files
  --output-dir OUTPUT_DIR
                        dir to save images
  --pdf-password PDF_PASSWORD
                        pdf password
  --from-page-no FROM_PAGE_NO
                        extra image from page
  --to-page-no TO_PAGE_NO
                        extra image to page
  --fix-page-number FIX_PAGE_NUMBER
                        fix page number (page_no += fix_page_number)

2. Extract transaction information

The source perform the basic steps to extract transaction information, you may want to add additional processing to optimize the source code in lines marked #todo.

python run.py 
usage: run.py [-h] [--image-dir IMAGE_DIR] [--output-respone-dir OUTPUT_RESPONE_DIR] [--output-content-dir OUTPUT_CONTENT_DIR] [--processed-log-file PROCESSED_LOG_FILE]

optional arguments:
  -h, --help            show this help message and exit
  --image-dir IMAGE_DIR
                        dir to images
  --output-respone-dir OUTPUT_RESPONE_DIR
                        dir to save api respone
  --output-content-dir OUTPUT_CONTENT_DIR
                        dir to save transaction content
  --processed-log-file PROCESSED_LOG_FILE
                        path to log file

File run.py perform 7 main stages:

  • Step 1. Find header & footer.
  • Step 2. Re-rotate image based on header-corner.
  • Step 3. Clean image.
  • Step 4. Call request google-ocr api. (include:text-detection & text-recognition
  • Step 5. Detect transaction line.
    processing-step-boder

  • Step 6. Classify transaction content each line & each content type.
    read-transactions-border

  • Step 7. Save transactions content to csv.
TNX Date Doc No Debit Credit Balance Transaction in detail (note)
13/10/2020 5091.55821 100.000 586062.131020.075756.Ung ho mien trung FT20287151644070 page_1
13/10/2020 5091.56080 1.000.000 586279.131020.075829.Ung ho dong bao mien Trung FT20287592192480 page_1
13/10/2020 5091.56138 200.000 219987.131020.075839.Trinh Thi Thu Thuy chuyen tien ung ho mien Trung page_1
13/10/2020 5091.56155 100.000 586295.131020.075826.UH mien trung FT20287432289640 page_1
13/10/2020 5078.68388 500.000 MBVCB.807033343.PHAM THUY TRANG chuyen tien ung ho tu thien.CT tu 0561000606153 PHAM THUY TRANG toi 0181003469746 TRAN THI THUY TIEN page_1
13/10/2020 5091.56261 1.000.000 184997.131020.075853.Em gui giup do ba con vung lu page_1
13/10/2020 5078.68496 200.000 MBVCB.807033583.Ung ho mien trung.CT tu 0051000531310 HUYNH THI NHU Y toi 0181003469746 TRAN THI THUY TIEN page_1
13/10/2020 5078.68526 100.000 MBVCB.807033514.ung ho mien trung.CT tu 0481000903279 NGUYEN THI HUONG AN toi 0181003469746 TRAN THI THUY TIEN page_1
13/10/2020 5091.56381 100.000 479592.131020.075909.ho tro mien trung page_1
13/10/2020 5078.68537 500.000 MBVCB.807034561.Ung ho Mien trung.CT tu 0721000588146 LE THI HONG DIEM toi 0181003469746 TRAN THI THUY TIEN page_1
13/10/2020 5091.56405 200.000 292363.131020.075845.Ngan hang TMCP Ngoai Thuong Viet Nam 0181003469746 LUC NGHIEM LE chuyen khoan ung ho mien trung page_1
13/10/2020 5091.56410 500.000 479627.131020.075913.Ung ho mien trung page_1

3. Export Excel

Export each csv directory to an excel file. Example:

python tools/export-excel.py --csv-dir "data/content/TÀI KHOẢN XXX746 (Pass_ [email protected])/TỪ 13.10.20 ĐẾN 23.11.20/1. TRANG 1 -1000.pdf"
usage: export-excel.py [-h] --csv-dir CSV_DIR [--output-dir OUTPUT_DIR] [--transaction-template TRANSACTION_TEMPLATE] [--filename FILENAME]

optional arguments:
  -h, --help            show this help message and exit
  --csv-dir CSV_DIR     csv dir
  --output-dir OUTPUT_DIR
                        output dir
  --transaction-template TRANSACTION_TEMPLATE
                        dir to save transaction content
  --filename FILENAME   output filename, leave blank to set default

4. Extract dataset

From api responed data, you can extract dataset to train text-recognization model:

 python tools/export-dataset.py 
usage: extract-dataset.py [-h] [--respone-dir RESPONE_DIR] [-a OUTPUT_ANNOTATION] [-i OUTPUT_IMAGE_DIR]

optional arguments:
  -h, --help            show this help message and exit
  --respone-dir RESPONE_DIR
                        dir to api respone
  -a OUTPUT_ANNOTATION, --output-annotation OUTPUT_ANNOTATION
                        path to save annotation file
  -i OUTPUT_IMAGE_DIR, --output-image-dir OUTPUT_IMAGE_DIR
                        path to save annotation file
  • Dataset of first 1000 pages lalebed by google-ocr (~336k): Google Drive
  • Tips: you may want to balance data text type before extract

5. Result

18107 transaction statement pages have been extracted from pdf format: Google Drive - Accuracy >99%.

You might also like...
Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

gosseract OCR Golang OCR package, by using Tesseract C++ library. OCR Server Do you just want OCR server, or see the working example of this package?

Convert PDF/Image to TXT using EasyOcr - the best OCR engine available!
Convert PDF/Image to TXT using EasyOcr - the best OCR engine available!

PDFImage2TXT - DOWNLOAD INSTALLER HERE What can you do with it? Convert scanned PDFs to TXT. Convert scanned Documents to TXT. No coding required!! In

A bot that plays TFT using OCR. Keeps track of bench, board, items, and plays the user defined team comp.
A bot that plays TFT using OCR. Keeps track of bench, board, items, and plays the user defined team comp.

NOTES: To ensure best results, make sure you are running this on a computer that has decent specs. 1920x1080 fullscreen is required in League, game mu

This pyhton script converts a pdf to Image then using tesseract as OCR engine converts Image to Text

Script_Convertir_PDF_IMG_TXT Este script de pyhton convierte un pdf en Imagen luego utilizando tesseract como motor OCR convierte la Imagen a Texto. p

Extract tables from scanned image PDFs using Optical Character Recognition.

ocr-table This project aims to extract tables from scanned image PDFs using Optical Character Recognition. Install Requirements Tesseract OCR sudo apt

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

EasyOCR Ready-to-use OCR with 80+ languages supported including Chinese, Japanese, Korean and Thai. What's new 1 February 2021 - Version 1.2.3 Add set

A Python wrapper for the tesseract-ocr API

tesserocr A simple, Pillow-friendly, wrapper around the tesseract-ocr API for Optical Character Recognition (OCR). tesserocr integrates directly with

FastOCR is a desktop application for OCR API.

FastOCR FastOCR is a desktop application for OCR API. Installation Arch Linux fastocr-git @ AUR Build from AUR or install with your favorite AUR helpe

OCR-D-compliant page segmentation

ocrd_segment This repository aims to provide a number of OCR-D-compliant processors for layout analysis and evaluation. Installation In your virtual e

Owner
Nguyen Xuan Hung
R&D
Nguyen Xuan Hung
7th place solution

SIIM-FISABIO-RSNA-COVID-19-Detection 7th place solution Validation: We used iterative-stratification with 5 folds (https://github.com/trent-b/iterativ

11 Jul 17, 2022
RRD: Rotation-Sensitive Regression for Oriented Scene Text Detection

RRD: Rotation-Sensitive Regression for Oriented Scene Text Detection For more details, please refer to our paper. Citing Please cite the related works

Minghui Liao 102 Jun 29, 2022
⛓ marc is a small, but flexible Markov chain generator

About marc (markov chain) is a small, but flexible Markov chain generator. Usage marc is easy to use. To build a MarkovChain pass the object a sequenc

Max Humber 65 Oct 27, 2022
Pure Javascript OCR for more than 100 Languages 📖🎉🖥

Version 2 is now available and under development in the master branch, read a story about v2: Why I refactor tesseract.js v2? Check the support/1.x br

Project Naptha 29.2k Jan 05, 2023
Line based ATR Engine based on OCRopy

OCR Engine based on OCRopy and Kraken using python3. It is designed to both be easy to use from the command line but also be modular to be integrated

948 Dec 23, 2022
RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition

RepMLP RepMLP: Re-parameterizing Convolutions into Fully-connected Layers for Image Recognition Released the code of RepMLP together with an example o

260 Jan 03, 2023
list all open dataset about ocr.

ocr-open-dataset list all open dataset about ocr. printed dataset year Born-Digital Images (Web and Email) 2011-2015 COCO-Text 2017 Text Extraction fr

hongbomin 95 Nov 24, 2022
Qrcode Attendence System with Opencv and Pyzbar

Setup process Creates a virtual environment (Scripts that ensure executed Python code uses the Python interpreter and site packages installed inside t

Ganesh 5 Aug 01, 2022
Perspective recovery of text using transformed ellipses

unproject_text Perspective recovery of text using transformed ellipses. See full writeup at https://mzucker.github.io/2016/10/11/unprojecting-text-wit

Matt Zucker 111 Nov 13, 2022
EQFace: An implementation of EQFace: A Simple Explicit Quality Network for Face Recognition

EQFace: A Simple Explicit Quality Network for Face Recognition The first face recognition network that generates explicit face quality online.

DeepCam Shenzhen 141 Dec 31, 2022
Memory tests solver with using OpenCV

Human Benchmark project This project is OpenCV based programs which are puzzle solvers for 7 different games for https://humanbenchmark.com/. made as

Bahadır Araz 24 Dec 27, 2022
Random maze generator and solver

Maze Generator and Solver I wrote a maze generator that works with two commonly known algorithms: Depth First Search and Randomized Prims. Both of the

Daniel Pérez 10 Sep 23, 2022
An interactive interface for using OpenCV's GrabCut algorithm for image segmentation.

Interactive GrabCut An interactive interface for using OpenCV's GrabCut algorithm for image segmentation. Setup Install dependencies: pip install nump

Jason Y. Zhang 16 Oct 10, 2022
Detect handwritten words in a text-line (classic image processing method).

Word segmentation Implementation of scale space technique for word segmentation as proposed by R. Manmatha and N. Srimal. Even though the paper is fro

Harald Scheidl 190 Jan 03, 2023
kaldi-asr/kaldi is the official location of the Kaldi project.

Kaldi Speech Recognition Toolkit To build the toolkit: see ./INSTALL. These instructions are valid for UNIX systems including various flavors of Linux

Kaldi 12.3k Jan 05, 2023
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 for the paper "DewarpNet: Single-Image Document Unwarping With Stacked 3D and 2D Regression Networks" (ICCV '19)

DewarpNet This repository contains the codes for DewarpNet training. Recent Updates [May, 2020] Added evaluation images and an important note about Ma

<a href=[email protected]"> 354 Jan 01, 2023
Primary QPDF source code and documentation

QPDF QPDF is a command-line tool and C++ library that performs content-preserving transformations on PDF files. It supports linearization, encryption,

QPDF 2.2k Jan 04, 2023
Corner-based Region Proposal Network

Corner-based Region Proposal Network CRPN is a two-stage detection framework for multi-oriented scene text. It employs corners to estimate the possibl

xhzdeng 140 Nov 04, 2022