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Trade-mark searching method

A trademark and image technology, applied in the field of image recognition, can solve problems such as problems that have not been solved well, and system reliability is not high

Inactive Publication Date: 2005-02-16
INST OF AUTOMATION CHINESE ACAD OF SCI
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Problems solved by technology

[0005] Although the research on automatic trademark retrieval is relatively active, and some systems have been put into use, there are still some problems that have not been well resolved
In the previous manual coding process, trademark certification personnel can weight the coding results according to certain rules. The weights corresponding to important parts of the original trademark are large, so that these important graphics in the original trademark can be highlighted, while the existing ones The system often extracts the global features of the image for matching, and cannot highlight these important information, so the reliability of the system is not high; another important problem is the speed problem. With the increase of the number of images in the library, the speed of retrieval becomes the constraint of the system. A bottleneck, and the number of existing registered trademarks in my country has exceeded 1 million

Method used

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Embodiment Construction

[0023] figure 1 It is the flowchart of the existing automatic trademark image retrieval system. From this figure, we can see that the existing trademark retrieval system is divided into two basic processes: the training process is divided into four steps, the first step is to obtain the trademark image; the second step is to filter out the trademark The noise in the pattern; the third step extracts a set of separable features from the filtered image, usually the extracted features include invariant moments, edge directions, Fourier descriptors, contour description strings, etc.; the fourth step is to extract The extracted features are stored in the feature dictionary. The query process is divided into five steps. The first three steps are the same as the training process to extract features from the image to be queried. The fourth step is to use the existing features to match the feature dictionary, calculate the similarity and return a group of the most similar images as the ...

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Abstract

The present invention relates to a trademark searching method. Said method includes the following steps: obtaining trademark image; filtering noise in the trademark image; pretreatment, extracting a group of characteristics with separability from the filtered image; storing the extracted characteristics into characteristic dictionary; reducing dimensionality; utilizing existed characteristics and characteristic dictionary to make matching, calculating similarity and returning a group of most similar images as inquiry result; and utilizing related feedback to optimize search result.

Description

technical field [0001] The invention relates to image recognition, in particular to a trademark retrieval method. Background technique [0002] Trademark retrieval refers to the process of finding images similar to the input trademark image from the existing trademark image database. Trademark plays a very important role in the industrial and commercial society. It is a symbol of a company, product or service. It is integrated with the product quality, service quality, and management of the enterprise. It becomes a symbol of corporate reputation and an intangible asset. Therefore, a trademark is an important attribute of a company and its products and is unique. The trademarks of any different companies, different products and services are different, and the infringement of trademarks will bring serious consequences. In order for a trademark to be legally protected, it must be formally registered with the Trademark Office. When registering a trademark, the trademark offic...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30
Inventor 刘昌平黄磊宛根训
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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