NDLI: A scheme of on-line Chinese character recognition using neural networks

Content Provider	IEEE Xplore Digital Library
Author	Hwei-Jen Lin Shwu-Huey Yen
Copyright Year	1997
Description	Author affiliation: Dept. of Comput. Sci. & Inf. Eng., Tamkang Univ., Tamsui, Taiwan (Hwei-Jen Lin)
Abstract	The paper proposes a scheme of online Chinese character recognition, based on neural networks. The supervised backpropagation algorithm is used to train the network. The input character is converted as a sequence of virtual stroke segments as well as real stroke segments, which is a good feature exactly describing the complete structure of a character, and is to be extracted by our system. In order to simplify the recognition process and reduce the recognition time, the neural network is divided into several subnetworks. Each of them is responsible for recognizing a group of about 75 character patterns. In other words, the huge set of Chinese characters is divided into several groups according to the numbers of stroke segments in the characters, and for each group of characters, a specific subnetwork is trained in order to recognize every character in the group. Whenever the system accepts an input Chinese character, it will calculate the number of stroke segments, including virtual stroke segments as well as real stroke segments in that character, and then determine which subnets to enter for recognition process. The system is allowed to accept and recognize some interconnected characters. The algorithm was experimentally implemented in a personal computer system, it accepts interconnected Chinese characters written on an electronic tablet, and performs recognition in real time. Our experiment showed that recognition accuracy exceeded 96% on the test example.
Starting Page	3528
Ending Page	3533
File Size	441104
Page Count	6
File Format	PDF
ISBN	0780340531
ISSN	1062922X
DOI	10.1109/ICSMC.1997.633201
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	1997-10-12
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Character recognition Neural networks Pattern recognition Handwriting recognition Feature extraction Backpropagation Image storage Image segmentation Computer science Real time systems
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

Off-line Chinese handwriting recognition using multi-stage neural network architecture

Cursive handwriting recognition using the Hough transform and a neural network

An efficient handwritten Devnagari character recognition system using neural network

Over-segmentation and validation strategy for off-line cursive handwriting recognition

Handwritten Character Recognition Based on BP Neural Network

Neural network for connected character recognition

Recognition of Online Isolated Handwritten Characters by Backpropagation Neural Nets Using Sub-Character Primitive Features

Handwritten Tamil Character Recognition Using Artificial Neural Networks

Segmentation-free recognizer based on enhanced four plane feature for realistic Chinese handwriting

A scheme of on-line Chinese character recognition using neural networks

Similar Documents

Off-line Chinese handwriting recognition using multi-stage neural network architecture

Cursive handwriting recognition using the Hough transform and a neural network

An efficient handwritten Devnagari character recognition system using neural network

Over-segmentation and validation strategy for off-line cursive handwriting recognition

Handwritten Character Recognition Based on BP Neural Network

Neural network for connected character recognition

Recognition of Online Isolated Handwritten Characters by Backpropagation Neural Nets Using Sub-Character Primitive Features

Handwritten Tamil Character Recognition Using Artificial Neural Networks

Segmentation-free recognizer based on enhanced four plane feature for realistic Chinese handwriting

A scheme of on-line Chinese character recognition using neural networks