Purple clay teapot seal retrieval method

A purple sand teapot and seal technology, which is applied to instruments, character and pattern recognition, and computer components, etc., can solve the problems of limited image matching, Chinese character recognition methods that cannot be well applied to seal retrieval, and do not have anti-affine transformation. Achieve high retrieval accuracy, reduce the time required for retrieval, and avoid large-scale searches
CN106570475AActive Publication Date: 2017-04-19NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Patent Information

Authority / Receiving Office
CN · China
Current Assignee / Owner
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
Publication Date
2017-04-19

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Abstract

The invention discloses a purple clay teapot seal retrieval method. The method is characterized by cutting and zooming a purple clay teapot seal image photographed by a mobile phone; through adjusting a mean value and a mean square error of the image, changing image brightness and contrast and acquiring a standard image; in the standard image, extracting an edge characteristic and a shape area characteristic of a purple clay teapot seal; after characteristic fusion is performed, using a trained SVM classifier to coarsely divide the seal into four types of a round shape, a triangle, rectangle and an irregular shape; extracting a SIFT characteristic of the purple clay teapot seal image, introducing a geometric constraint condition, and using an improved matching method based on belief propagation to match with the image in a template database; and simultaneously using a clustering method to optimize retrieval time and completing seal retrieval. By using the method of the invention, good robustness is possessed to uneven illumination and affine transformation of rotation, zooming, side looking and the like.
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Description

technical field

[0001] The invention belongs to the technical field of digital image processing and pattern recognition, and in particular relates to a search method for a purple sand teapot seal. Background technique

[0002] Seal retrieval Due to the diversity of fonts and the instability of the printed carrier, the identification of Zisha teapot seals is still mainly based on visual observation. Through manual methods such as comparing the details of the seals, overlapping comparisons, and splicing comparisons, Zisha teapots can be identified. the producer. In recent years, with the vigorous development of digital image processing and pattern recognition technology, a reliable theoretical basis has been provided for computers to replace manual retrieval of purple sand pot seals.

[0003] In 2008, Ni Qi and others proposed a seal recognition algorithm based on gradient segmentation and feature matching (Ni Qi, Wang Xinsai, Li Jian, et al. Research on seal recognition algo...

Claims

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