Title :
Handwritten word recognition for real-time applications
Author :
Kim, Gyeonghwan ; Govindaraju, Venu
Author_Institution :
Center of Excellence for Document Anal. & Recognition, State Univ. of New York, Buffalo, NY, USA
Abstract :
A fast handwritten word recognition system for real time applications is presented. Preprocessing, segmentation and feature extraction are implemented using chain code representation. Dynamic matching between each character of a lexicon entry and segment(s) of input word image is used for ranking words in the lexicon. Speed of the entire recognition process is about 200 msec on a single SPARC-10 platform for lexicon size of 10. A top choice performance of 96% is achieved on a database of postal words captured at 212 dpi
Keywords :
feature extraction; handwriting recognition; image matching; image segmentation; real-time systems; word processing; SPARC-10 platform; chain code representation; dynamic matching; fast handwritten word recognition system; feature extraction; input word image; lexicon entry; postal word database; preprocessing; real time applications; segmentation; word ranking; Feature extraction; Handwriting recognition; Image databases; Image segmentation; Pattern matching; Real time systems; Robustness; Smoothing methods; Text analysis; Venus;
Conference_Titel :
Document Analysis and Recognition, 1995., Proceedings of the Third International Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-8186-7128-9
DOI :
10.1109/ICDAR.1995.598936
