Titlebook: Handwriting Recognition; Soft Computing and P Zhi-Qiang Liu,Jinhai Cai,Richard Buse Book 2003 Springer-Verlag Berlin Heidelberg 2003 Markov

咯咯笑

Book 2003e U. S. has developed TextBridge for converting hardcopy documents into electronic document files. In spite of the impressive progress, there is still a significant perfor­ mance gap between the human and the machine in recognizing off-line unconstrained handwritten characters and words. The difficu

Vulnerary

Constrain

Minikin

直言不讳

GROWL

FANG

A Structural and Relational Approach to Handwritten Word Recognition,In this chapter we present a technique that recognizes words based on structural and relational information.

一骂死割除

Conclusion,This book has presented several approaches to recognizing handwritten numerals and words based on Markov models, conditional rules, and fuzzy logic.

不能和解

https://doi.org/10.1007/978-3-540-44850-1Markov; algorithm; algorithms; fuzzy; fuzzy set; hidden markov model; logic; model; learning and instruction

Bridle

Pre-processing and Feature Extraction,ferent classes effectively, to reduce redundancy in representation and be robust to noise and deformation. In this chapter we discuss features and feature extraction techniques for handwriting recognition.