Writing brush calligraphy character seach method

Abstract

The invention relates to a writing brush word search method, wherein it comprises: (1) cutting the writing brush words not similar with the sample word in database; (2) matching the left candidate writing brush word with sample word, to provide the matched value; (3), sequencing the matched values from small to large, based on the writing brush word number, obtaining relative original writing brush word image, to generate virtual result; (4), user can use mouse to draw one Chinese word image, input one text Chinese word by keyboard, or guide into one writing brush word image by disc to search writing brush word. The invention can use present optical word recognize technique to recognize the text to search, to provide the search tool of digit writing brush to digit library.

Description

technical field [0001] The invention relates to digital image retrieval, in particular to a brush calligraphy character retrieval method. Background technique [0002] The 5,000-year culture of the Chinese nation has left many excellent calligraphy works, such as Wang Xizhi's "Lanting Collection Preface" and Yan Zhenqing's "Duobao Pagoda". Each of these original works is unique, previously existing on paper, silk, or stone, and is protected because of its fragility, stored in a museum, and the public is not allowed to browse at will. The digitization and network storage of calligraphy works provide a second storage medium for historical calligraphy works, which helps the masses to appreciate and understand national culture conveniently. Therefore, calligraphy works are an important part of the digital library project with Chinese characteristics. However, at present, the retrieval function of calligraphy works on the Internet is only for retrieval of marked metadata inform...

AI Technical Summary

Problems solved by technology

However, marking calligraphy characters is not only time-consuming and labor-intensive, but also many calligraphy characters are difficult to mark. The main reasons are: 1. Many ancient Chinese characters are no longer used in modern Chinese;

[0003] Optical Character Recognition technology has a good recognition rate for printed Chinese characters, but for historical calligraphy characters, its recognition effect is unacceptable, mainly because calligraphy characters have different styles, there is no unified template, and historical calligraphy works are due to Historical vicissitudes, with ambiguity

Existing Content-Based Image Retrieval (CBIR) technology does not have a good effect on calligraphy word retrieval

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