NDLI: Graph Model Optimization Based Historical Chinese Character Segmentation Method

Content Provider	IEEE Xplore Digital Library
Author	Jingning Ji Liangrui Peng Bohan Li
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. Eng., Tsinghua Univ., Beijing, China (Jingning Ji; Liangrui Peng; Bohan Li)
Abstract	Historical Chinese document recognition technology is important for digital library. However, historical Chinese character segmentation remains a difficult problem due to the complex structure of Chinese characters and various writing styles. This paper presents a novel method for historical Chinese character segmentation based on graph model. After a preliminary over-segmentation stage, the system applies a merging process. The candidate segmentation positions are denoted by the nodes of a graph, and the merging process is regarded as selecting an optimal path of the graph. The weight of edge in the graph is calculated by the cost function which considers geometric features and recognition confidence. Experimental results show that the proposed method is effective with a detection rate of 94.6% and an accuracy rate of 96.1% on a test set of practical historical Chinese document samples.
Sponsorship	Google
Starting Page	282
Ending Page	286
File Size	419044
Page Count	5
File Format	PDF
ISBN	9781479932443
DOI	10.1109/DAS.2014.57
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-07
Publisher Place	France
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image segmentation Accuracy Text analysis Image edge detection character segmentation Merging graph model historical Chinese document Cost function Character recognition
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Research on Optimization Segmentation Algorithm for Chinese/English Mixed Character Image in OCR

Different edge detection algorithms comparison and analysis on handwritten chinese character recognition g. Hemantha kumar 1.

Blob extraction based character segmentation method for automatic license plate recognition system

Multi-operator combination for character segmentation in complex background

Edge detection for Chinese text image based on novel differential operator

A New Gradient Based Character Segmentation Method for Video Text Recognition

A Novel Multi-oriented Chinese Text Extraction Approach from Videos

Word segmentation in handwritten Chinese text image based on component clustering techniques

Chinese document layout analysis based on texture features

Graph Model Optimization Based Historical Chinese Character Segmentation Method

Similar Documents

Research on Optimization Segmentation Algorithm for Chinese/English Mixed Character Image in OCR

Different edge detection algorithms comparison and analysis on handwritten chinese character recognition g. Hemantha kumar 1.

Blob extraction based character segmentation method for automatic license plate recognition system

Multi-operator combination for character segmentation in complex background

Edge detection for Chinese text image based on novel differential operator

A New Gradient Based Character Segmentation Method for Video Text Recognition

A Novel Multi-oriented Chinese Text Extraction Approach from Videos

Word segmentation in handwritten Chinese text image based on component clustering techniques

Chinese document layout analysis based on texture features

Graph Model Optimization Based Historical Chinese Character Segmentation Method