@inproceedings{e9b0a2585518422b82272cfc75291e47,
title = "Handwritten word recognit ion for real-time applications",
abstract = "A fast handwritten word recognition system for real time applications is presented in this paper. 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-IO platform for lexicon size of 10. A top choice performance of 96\% is achieved on a database of postal words captured at 212dpi.",
author = "Gyeonghwan Kim and Venu Govindaraju",
note = "Publisher Copyright: {\textcopyright} 1995 IEEE.; 3rd International Conference on Document Analysis and Recognition, ICDAR 1995 ; Conference date: 14-08-1995 Through 16-08-1995",
year = "1995",
doi = "10.1109/ICDAR.1995.598936",
language = "English",
series = "Proceedings of the International Conference on Document Analysis and Recognition, ICDAR",
publisher = "IEEE Computer Society",
pages = "24--27",
booktitle = "Proceedings of the 3rd International Conference on Document Analysis and Recognition, ICDAR 1995",
address = "United States",
}