Subject:
paper submission to CONCURRENCY PRACTICE & EXPERIENCE
From:
mingdelie@263.net
Date:
Mon, 17 Dec 2001 10:59:52 +0800 (CST)
To:
fox@csit.fsu.edu

paper submission to CONCURRENCY PRACTICE & EXPERIENCE

Dear Sir,
 This paper is supported by China National banking bureau because we did a software project about form automation for them. To make a conclusion previous work,I wrote this paper and hope to submit it to your journal. Because of the long distance between two countries,it often needs long time for mail submission.To accelerate the submission speed, I select the electronic method. I sincerely hope you can accept it. Thank you very much. Your help will be highly appreciated.
Your sincerely,
MING Delie
2001-12-16

1. Title

The Design and Implementation of a Chinese Financial Invoice  Recognition System

2. Author

MING Delie , LIU Jian , TIAN Jinwen
State Key Laboratory for Image Processing and Intelligent Control
Institute for Pattern Recognition and Artificial Intelligence
Huazhong University of Science and Technology,
Wuhan, Hubei province, 430074, P.R.China
Tel: 86-27-87556301
Email address: mingdelie@263.net mingdelie@yahoo.com 3.ABSTRACT

This paper designs and implements a financial invoice recognition system based on the features of the Chinese financial invoice.  By using the linear whole block
 moving method in each vertical segment, a new fast algorithm is put forth to detect and rectify the slant image. To distinguish the different form types (the foundation necessary for locating the form fields, filtering the form lines, etc.), 
several representative form features are discussed and an invoice-type features library is built by using a semi-automatic machine study method. On the basis of the recognized invoice type, real invoice form is re-oriented against the corresponding blank form according to the invoice type feature, solving the problem of adhesion of characters and form lines, as well as the problem of characters segmentation and recognition. Based on the financial Chinese invoice image feature, a mutual rectification mechanism founded on the recognition results of financial Chinese characters and Arabic numerals is put forward to raise the recognition rate. 
Finally, the experimental results and conclusions are presented.

4.Keywords: financial invoice recognition, characters segmentation, optical character recognition (OCR), mutual rectification mechanism, slant-image rectification