DocumentCode
1743004
Title
Ink-link [character recognition]
Author
El-Nasan, Adnan ; Nagy, George
Author_Institution
Rensselaer Polytech. Inst., Troy, NY, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
573
Abstract
Wide acceptance of inexpensive writing tablets with high fractionality motivates the development of individualized, adaptive online recognition of cursive script. We demonstrate a lexical algorithm based on bigram matches. The solution we propose is to: 1) generate a match list by partial-word matching against a reference list in the owner´s script; and 2) identify each unknown word by eliminating, from a large lexicon, every word that partially matches the transcript of any word on the reference list that is not on the match list, or that fails to match any word on the match list. With perfect feature-level matching, a surprisingly short reference list yields a high recognition rate
Keywords
feature extraction; handwritten character recognition; pattern matching; real-time systems; bigram matching; character recognition; cursive script recognition; feature extraction; lexical algorithm; real time systems; writing tablets; Character recognition; Computer displays; Databases; Economic indicators; Ink; Law; Redundancy; Sorting; Vocabulary; Writing;
fLanguage
English
Publisher
ieee
Conference_Titel
Pattern Recognition, 2000. Proceedings. 15th International Conference on
Conference_Location
Barcelona
ISSN
1051-4651
Print_ISBN
0-7695-0750-6
Type
conf
DOI
10.1109/ICPR.2000.906139
Filename
906139
Link To Document