Abstract
We have built several trial programs (system) to test the assumptions we have made on improving the speed and accuracy of online Chinese character recognition results. This paper describes an online Chinese character database, which is built upon the analysis of the character segments. Therefore, the structure of the database covers only on the features of individual segment and the relations used to distinguish one character from another. On the other hand, the stroke sequence free algorithm checks the stroke segments iterately until all segments are evaluated between the input and reference characters. Therefore, even the users input the characters against the stroke order rules, the system still be able to get the correct result. Since the distance measure algorithm depends only on the features of segments, the system need not to distinguish radical and structure within characters.
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsPreview
Unable to display preview. Download preview PDF.
Reference
Tak Ming Law, Signal Learning Algorithms and Database Architecture for On-line Chinese Characters Recognition, Proceedings of 2000 International Workshop on Multimedia Data Storage, Retrieval, Integration and Applications, Hong Kong (2000) 68–74.
Tak Ming Law, An On-line Chinese Character Recognition, Master of Philosophy thesis, The Chinese University of Hong Kong, Computer Science and Engineering Department, (1996).
Chi Chung Zhang, Chinese Recognition Techniques, Chinese Signal Processing, Tsing Hwa University Press, (1992).
Sheng-Li n Chou and Wen-Hsiang Tsai, On-Line Chinese Character Recognition through Stroke-Segment Matching using a New Discrete Iteration Scheme, Computer Processing of Chinese and Oriental Languages, Vol.7, No. 1, (1993) 1–20.
Tak-Ming Law, The Decision Path Classification For A Segment-Based On-Line Chinese Character Recognition, Proceedings Of The Conference On Applications Of Automation Science And Technology, Hong Kong (1998) 227–231.
Tak-Ming Law, Signal Smoothing, Sampling, Interpolation And Stroke Segmentation Algorithm For On-Line Chinese Character Recognition, Proceedings Of The Second International Conference On Information, Communications & Signal Processing, Singapore (1999),.
Tak-Ming Law, Signal Learning Algorithms And Database Architecture For On-Line Chinese Characters Recognition, Proceedings Of The 2000 International Workshop On Multimedia Data Storage, Retrieval, Integration And Applications, Hong Kong (2000) 68–74.
Tak-Ming Law, Segmentation Analysis And Similarity Measure For Online Chinese Character Recognition, Proceedings Of The International Conference On Chinese Language Computing, Chicago, Illinois, USA (2000).
Mr. Wong, An On-line Chinese Character Recognition, Master of Philosophy thesis, The Chinese University of Hong Kong, Information Engineering Department, (1993).
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2001 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Law, T.M. (2001). Some Experiment Results on Feature Analyses of Stroke Sequence Free Matching Algorithms for On-Line Chinese Character Recognition. In: Tang, Y.Y., Yuen, P.C., Li, Ch., Wickerhauser, V. (eds) Wavelet Analysis and Its Applications. WAA 2001. Lecture Notes in Computer Science, vol 2251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45333-4_30
Download citation
DOI: https://doi.org/10.1007/3-540-45333-4_30
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-43034-6
Online ISBN: 978-3-540-45333-8
eBook Packages: Springer Book Archive