The segmentation algorithm for handwritten numeral strings in bank-check recognition

Front. Electr. Electron. Eng. ›› 2007, Vol. 2 ›› Issue (1) : 39 -44.

PDF (593KB)
Front. Electr. Electron. Eng. ›› 2007, Vol. 2 ›› Issue (1) : 39 -44. DOI: 10.1007/s11460-007-0007-x

The segmentation algorithm for handwritten numeral strings in bank-check recognition

Author information +
History +
PDF (593KB)

Abstract

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.

Keywords

bank check recognition, segmentation, length estimation of digit string

Cite this article

Download citation ▾
null. The segmentation algorithm for handwritten numeral strings in bank-check recognition. Front. Electr. Electron. Eng., 2007, 2(1): 39-44 DOI:10.1007/s11460-007-0007-x

登录浏览全文

4963

注册一个新账户 忘记密码

References

AI Summary AI Mindmap
PDF (593KB)

626

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/