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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

Active Publication Date: 2017-04-19
NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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Problems solved by technology

[0006] Through the analysis of the existing seal recognition technology, it is found that there are many current methods: the global matching method is limited by the bottleneck of image matching, and does not have the ability to resist affine transformation; Applied to seal retrieval; currently, there is no systematic framework for the retrieval of Zisha teapot seals

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  • Purple clay teapot seal retrieval method

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Embodiment Construction

[0043] The present invention will be further described below in conjunction with the accompanying drawings.

[0044] The invention relates to a search method for a purple sand teapot seal. Firstly, crop and zoom the Zisha teapot seal image obtained by taking pictures with the mobile phone, and then change the brightness and contrast of the image by adjusting the mean value and mean square error of the image to obtain a standardized image. Extract the edge features and shape region features of the purple sand pot seal from the standardized image, and after feature fusion, use the trained SVM classifier to roughly divide the seal into four categories: circle, triangle, rectangle, and irregular shape. Extract the SIFT feature of the Zisha teapot seal image, introduce geometric constraints, and use an improved matching method based on belief propagation to match the image in the template library; at the same time, use the clustering method to optimize the time required for retriev...

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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.

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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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62
CPCG06V20/10G06V10/462G06F18/23213G06F18/2411
Inventor 孙涵罗媺刘宁钟黄元元
Owner NANJING UNIV OF AERONAUTICS & ASTRONAUTICS
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