Calligraphy character identifying method

A recognition method and technology of calligraphy characters, applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems that ordinary users cannot recognize

Inactive Publication Date: 2013-05-08
ZHEJIANG UNIV
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  • Application Information

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Problems solved by technology

However, due to long-term historical changes, the ancient and modern glyphs of many Chinese characters have

Method used

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Examples

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Embodiment

[0087] as attached Figure 4 As shown, two examples of calligraphy character recognition results are given. Below in conjunction with the method of the present invention describe in detail the concrete steps that this example implements, as follows:

[0088] (1) Collect a single calligraphy character image on the Internet, or perform a minimum bounding box segmentation of the calligraphy character from the entire calligraphy work image to obtain a single calligraphy character image, obtain a single calligraphy character image set, and then mark the Chinese characters corresponding to a single calligraphy character image Semantics, stored in the feature database;

[0089] (2) Carry out binarization, denoising, normalization processing to single calligraphy word image;

[0090] (3) Build a feature database for preliminary screening and similarity calculation during recognition. The feature database includes the semantics of Chinese characters in step (1), the positions of four...

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Abstract

The invention discloses a calligraphy character identifying method. A signal calligraphy character image is collected and Chinese character semanteme is manually annotated, wherein the Chinese character semanteme corresponds to the signal calligraphy character image. The calligraphy character feature information of the signal calligraphy character image is extracted and stored in a feature data bank after binaryzation processing, denoising processing and normalization processing are conducted to signal calligraphy character image. The feature information comprises four boundary point positions of the calligraphy character of the signal calligraphy character image and average stroke passing numbers, projecting valves and outline points in a horizontal direction and a vertical direction of the calligraphy character. Then, to-be-identified signal calligraphy character image is processed. The feature information of the to-be-identified signal calligraphy character is extracted and shape match is compared after preliminary screening. The calligraphy character is screened in the feature data bank, wherein the shape of the calligraphy character is similar to the shape of the to-be-identified calligraphy character. Finally, weight calculation is conducted to same semanteme calligraphy character image and the same semanteme calligraphy character image is merged. Identifying results are given. The calligraphy character identifying method has the advantages of being small in calculated amount, capable of giving an accuracy identifying result in a short time and capable of having no specific requirements for the to-be-identified calligraphy character image offered by users.

Description

technical field [0001] The invention relates to computer digital image analysis, in particular to a calligraphy character recognition method. Background technique [0002] Chinese calligraphy is an ancient art of writing Chinese characters. It has evolved from oracle bone inscriptions, stone drum inscriptions, and bronze inscriptions (Zhong Dingwen) to big seal script, small seal script, and official script, to cursive script, regular script, and running script that were finalized in the Eastern Han, Wei, and Jin Dynasties. Calligraphy has been distributed all the time. With the charm of art. Relying on Chinese characters is the main symbol that distinguishes Chinese calligraphy from other types of calligraphy. However, due to long-term historical changes, the ancient and modern glyphs of many Chinese characters have undergone great changes. Some ancient fonts, such as Xiaozhuan, are mostly unrecognizable by ordinary users. In order to solve this problem, a method for reco...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 庄越挺吴江琴林媛高鹏程夏洋
Owner ZHEJIANG UNIV
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