Handwritten word recognition based on structural characteristics and lexical support

被引：0
|
作者：
Kavallieratou, E [1 ]
Sgarbas, K [1 ]
Fakotakis, N [1 ]
Kokkinakis, G [1 ]
机构：
[1] Univ Patras, Wire Commun Lab, Patras 26500, Greece
来源：
SEVENTH INTERNATIONAL CONFERENCE ON DOCUMENT ANALYSIS AND RECOGNITION, VOLS I AND II, PROCEEDINGS | 2003年
关键词：
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper a handwritten recognition algorithm based on structural characteristics, histograms and profiles, is presented. The well-known horizontal and vertical histograms are used, in combination with the newly introduced radial histogram, out-in radial and in-out radial profiles for representing 32x32 matrices of characters, as 280-dimension vectors. The recognition process has been supported by a lexical component based on dynamic acyclic FSAs (Finite-State-Automata).
引用
收藏
页码：562 / 566
页数：5
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