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 :
بازگشت