Research on Chinese Character Recognition Using Bag of Words

Jia Ping Gui; Yi Zhou; Xin Da Lin; Kai Chen; Hai Bing Guan

doi:10.4028/www.scientific.net/AMM.20-23.395

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 20-23Research on Chinese Character Recognition Using...

Research on Chinese Character Recognition Using Bag of Words

Abstract:

The traditional OCR obtains unsatisfactory results in the field of image recognition when images are processed in a complex background with low quality. This paper presents a novel application of the model of Bag of Words on Chinese character recognition, and extensively evaluated its effectiveness with 12 different fonts of Chinese character datasets under varying circumstances. Our experimental results demonstrate that this approach can achieve nearly 70% at its highest accuracy rate, which shows its performance far exceeds the traditional OCR’s

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Periodical:

Applied Mechanics and Materials (Volumes 20-23)

Pages:

395-400

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.20-23.395

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Online since:

January 2010

Authors:

Jia Ping Gui, Yi Zhou, Xin Da Lin, Kai Chen, Hai Bing Guan

Keywords:

BoW Model, Chinese Character Recognition, Optical Character Recognition (OCR), TFIDF

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