Recognition of Offline Handwritten Chinese Characters of Amount in Words Based on Integrated Features and HMM

Cai Feng Liu; Xue Dong Tian; Fang Yang

doi:10.4028/www.scientific.net/AMM.263-266.2639

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 263-266Recognition of Offline Handwritten Chinese...

Recognition of Offline Handwritten Chinese Characters of Amount in Words Based on Integrated Features and HMM

Abstract:

A recognition method of offline handwritten Chinese characters of amount in words is presented. The method uses elastic mesh strategy to divide character images written by special men into meshes, and extracts directional element and key point features in every mesh to produce a vector. Based on independent Hidden Markov Model classifiers, this paper uses voting rule to integrate the Hidden Markov Model classifiers. The experimental results show that this method has a relative high recognition rate.

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Periodical:

Applied Mechanics and Materials (Volumes 263-266)

Pages:

2639-2642

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.263-266.2639

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Online since:

December 2012

Authors:

Cai Feng Liu, Xue Dong Tian, Fang Yang

Keywords:

Elastic Meshes, Feature Points, Handwritten Character Recognition, HMM, Skeleton Directional Decomposition

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