Research on Chinese Character Recognition Using Bag of Words

Abstract:

Article Preview

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

Info:

Periodical:

Edited by:

Qi Luo

Pages:

395-400

DOI:

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

Citation:

J. P. Gui et al., "Research on Chinese Character Recognition Using Bag of Words", Applied Mechanics and Materials, Vols. 20-23, pp. 395-400, 2010

Online since:

January 2010

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Price:

$35.00

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