Paper Info
Title
A Replica Consistency Detection Method For Text Images Based On Multi-Feature Assessment
Abstract
The replica consistency detection of text images is of great significance in office automation. For example, it can be applied to detect the consistency of the printed documents of commercial contracts and the original electronic documents. In this paper, we propose a method for replica consistency detection of text images based on multi-feature assessment. Firstly, we make a photocopy of the printed document, then apply our method to detect the consistency between the photocopied text images and the original text images. Rather than recognizing each character, we only focus on the measurements of the likeness of these two text images, and no OCR techniques are required. The experiment results indicate that the method has high accuracy. Although the Chinese characters are the main research objects, the experiment results show that the method also can be used for detecting the consistency of Latin letters and Arabic numerals.
Year
DOI
Venue
2016
10.1109/I2MTC.2016.7520587
2016 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE PROCEEDINGS
Keywords
Field
DocType
text image, character image, consistency detection, multi-feature, office automation
Chinese characters,Replica,Information retrieval,Computer science,Arabic numerals,Office automation
Conference
Citations 
PageRank 
References 
0
0.34
0
Authors
4
Name
Order
Citations
PageRank
Qianli Zhong100.34
Jiasheng Hao201.01
Yang Lu31024.87
Yuanzhe Yao4131.49