Study on segmentation algorithm for unconstrained handwritten numeral strings

被引：0
|
作者：
Chuang, Z [1 ]
Ming, W [1 ]
Jun, G [1 ]
机构：
[1] Beijing Univ Posts & Telecommun, Lab PRIS, Beijing 100876, Peoples R China
来源：
KNOWLEDGE-BASED INTELLIGENT INFORMATION AND ENGINEERING SYSTEMS, PT 3, PROCEEDINGS | 2004年 / 3215卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, an integrated system of segmenting unconstrained handwritten numeral strings with unknowing number of digits is proposed, which consists of the extraction of connected components based on vertical projection and isolated components analysis, the length estimation of connected components using syntax analysis and waveform analysis and the segmentation of unconstrained connected handwritten numeral strings using innovative reverse "drop-falling" algorithm. This segmentation system which has promising results is then incorporated into a complete bank check character recognition system.
引用
收藏
页码：632 / 642
页数：11
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