%0 Journal Article
%T A New Method for Unconstrained Handwritten Numerals Recognition<br>一种非限制性的手写数字的识别方法
%A Cheng Xiaoqun
%A Tai Juwei
%A Liu Yingjian
%A <br>程晓群
%A 戴汝为
%A 刘迎建
%J 自动化学报
%D 1993
%I 
%X In this paper, a model-based finite state attribute automaton is proposed from syntatic and semantic recognition point view for the extraction of features. For each typical deformed model, a new finite state attribute grammar and its corresponding automaton is designed. This method combines Top-Down and Bottom-Up control strategy, introduces knowledge in low levels, this cuts down the amount of operations and reduces the uncertainty. An unconstrained handwritten numerals recognition system is realized based on this approach. By testing a set of 1, 100 samples, the average recognition ratte is 95.2%, rejection rate is 4.6%, substitution rate is 0.2%.
%K Pattern recognition
%K primitive
%K attributed grammar
%K automata<br>模式识别
%K 手写体
%K 数字识别
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=7B6EF350B4CE76EB5DB528F2D8455A09&yid=D418FDC97F7C2EBA&vid=2A8D03AD8076A2E3&iid=94C357A881DFC066&sid=C2053D4E59904B8A&eid=CD26609C367AC9C8&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=12