An unconstrained handwriting recognition system

被引：35
|
作者：
Kavallieratou E. [1 ]
Fakotakis N. [1 ]
Kokkinakis G. [1 ]
机构：
[1] Wire Communications Lab., University of Patras
来源：
International Journal on Document Analysis and Recognition | 2002年 / 4卷 / 04期
关键词：
Character segmentation; Handwritten character recognition; Skew angle estimation; Slant correction; Text segmentation;
D O I：
10.1007/s100320200079
中图分类号：
学科分类号：
摘要：
In this paper, an integrated offline recognition system for unconstrained handwriting is presented. The proposed system consists of seven main modules: skew angle estimation and correction, printed-handwritten text discrimination, line segmentation, slant removing, word segmentation, and character segmentation and recognition, stemming from the implementation of already existing algorithms as well as novel algorithms. This system has been tested on the NIST, IAM-DB, and GRUHD databases and has achieved accuracy that varies from 65.6% to 100% depending on the database and the experiment. © 2002 Springer-Verlag Berlin Heidelberg.
引用
收藏
页码：226 / 242
页数：16
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