An integration of online and pseudo-online information for cursive word recognition

Author

Steinherz, Tal ; Rivlin, Ehud ; lntrator, N. ; Neskovic, Predrag

Author_Institution

Dept. of Comput. Sci., Tel Aviv Univ., Israel

Volume

27

Issue

5

fYear

2005

fDate

5/1/2005 12:00:00 AM

Firstpage

669

Lastpage

683

Abstract

In this paper, we present a novel method to extract stroke order independent information from online data. This information, which we term pseudo-online, conveys relevant information on the offline representation of the word. Based on this information, a combination of classification decisions from online and pseudo-online cursive word recognizers is performed to improve the recognition of online cursive words. One of the most valuable aspects of this approach with respect to similar methods that combine online and offline classifiers for word recognition is that the pseudo-online representation is similar to the online signal and, hence, word recognition is based on a single engine. Results demonstrate that the pseudo-online representation is useful as the combination of classifiers perform better than those based solely on pure online information.

Keywords

computer vision; data mining; handwritten character recognition; classification decision combination; cursive word recognition; online data; pseudo-online information; Character recognition; Data mining; Delay effects; Engines; Handwriting recognition; Image generation; Layout; Pixel; Shape; Index Terms- Online; classifier combination.; cursive; handwriting; offline; word recognition; Algorithms; Artificial Intelligence; Automatic Data Processing; Computer Graphics; Documentation; Handwriting; Image Interpretation, Computer-Assisted; Information Storage and Retrieval; Numerical Analysis, Computer-Assisted; Online Systems; Pattern Recognition, Automated; Reading; Reproducibility of Results; Sensitivity and Specificity; Signal Processing, Computer-Assisted; Subtraction Technique; User-Computer Interface;

fLanguage

English

Journal_Title

Pattern Analysis and Machine Intelligence, IEEE Transactions on

Publisher

ieee

ISSN

0162-8828

Type

jour

DOI

10.1109/TPAMI.2005.94

Filename

1407872