Machine-Printed Invoice Number Based on Fuzzy Recognition

Xiao Ping Xian

doi:10.4028/www.scientific.net/AMM.214.705

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 214Machine-Printed Invoice Number Based on Fuzzy...

Machine-Printed Invoice Number Based on Fuzzy Recognition

Abstract:

A new fuzzy recognition method of machine-printed invoice number based on neural network is presented. This method includes ten links: invoice number detection and separation of right on top of invoice, binarization, denoising, incline correction, extraction of invoice code numerals, window scaling, location standardization, thinning, extraction of numeral feature and fuzzy recognition based on BP neural network. Through testing, the recognition rate of this method can be over 99%.The recognition time of characters for character is less than 1 second, which means that the method is of more effective recognition ability and can better satisfy the real system requirements.

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Periodical:

Applied Mechanics and Materials (Volume 214)

Pages:

705-710

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.214.705

Citation:

Cite this paper

Online since:

November 2012

Authors:

Xiao Ping Xian

Keywords:

BP Neural Network (BPNN), Fuzzy Recognition, Invoice Code

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