The existing Chinese Minorities OCR system is mainly oriented in the "literacy" level, the script recognition has not
attracted the attention it deserves, and the area of recognizing the kinds of Chinese minority scripts is still in a blank.
This paper presents a method of recognizing the kinds of Chinese minority scripts based on wavelet analysis and
Multinomial Naive Bayes. The method of recognizing the kinds of Chinese minority scripts based on wavelet analysis
and Multinomial Naive Bayes is presented which adopts wavelet decomposition that obtains feature descriptor of
wavelet energy and wavelet energy distribution proportion. Combined with the texture feature of Chinese minority
scripts, radially classification in Multinomial Naive Bayes. Among Chinese, English and Chinese minority scripts such
as Tibetan, Tai Lue, Naxi Pictographs, Uighur, Tai Le, Yi, the experimental results show the recognition rate is up to
90%.
Proceedings Volume Editor (1)
This will count as one of your downloads.
You will have access to both the presentation and article (if available).
Access to the requested content is limited to institutions that have purchased or subscribe to SPIE eBooks.
You are receiving this notice because your organization may not have SPIE eBooks access.*
*Shibboleth/Open Athens users─please
sign in
to access your institution's subscriptions.
To obtain this item, you may purchase the complete book in print or electronic format on
SPIE.org.
INSTITUTIONAL Select your institution to access the SPIE Digital Library.
PERSONAL Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.