@INPROCEEDINGS { Rsds3556,
author = {Ziarko, Wojciech and Hou, Yongzhong}, 
title = {A Rough Sets Approach to Handwriting Classification}, 
booktitle = {Proceedings of the Fourth International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
conference = {International Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery}, 
pages = {372--382}, 
publisher = {Japanese Research Group on Rough Sets}, 
address = {Tokyo, Japan}, 
month = {November}, 
year = 1996, 
editor = {Tsumoto, Shusaku and Kobayashi, Satoshi and Yokomori, Takashi and Tanaka, Hiroshi and Nakamura, Akira}, 
isbn = {4-947717-01-7}, 
abstract = {The on-going on the application of rough sets-based data mining technique to hand-writing recognition is reported. The presented approach involves collection of handwriting samples and the usage of KDD-R system based on rough sets to produce recognition rules. The rule are obtained from samples represented in terms of thirty five features representing various geometric aspects of the character. The preliminary experimental results are promising with the majority of characters recognized correctly with the accuracy over 90% and the average accuracy above 80%.}, 
keywords = {rough sets, character recognition, machine learning, rules computation, }, 
}