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Multilevel Fingerprint Database Retrieval Method Based on Invariant Features

A database and fingerprint technology, applied in special data processing applications, electrical digital data processing, instruments, etc., can solve problems such as unfavorable classification, achieve the effect of overcoming rotation and displacement, high academic application value, and improving reliability and stability

Inactive Publication Date: 2011-12-21
JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS +1
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Problems solved by technology

In addition, the moment features mentioned above are calculated in the entire image space, and the global features of the image are obtained. This feature vector is not conducive to classification

Method used

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  • Multilevel Fingerprint Database Retrieval Method Based on Invariant Features
  • Multilevel Fingerprint Database Retrieval Method Based on Invariant Features

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Embodiment Construction

[0014] The present invention will now be described in further detail in conjunction with the accompanying drawings and preferred embodiments. These drawings are all simplified schematic diagrams, which only illustrate the basic structure of the present invention in a schematic manner, so they only show the configurations related to the present invention.

[0015] In the embodiment of the multi-level fingerprint database retrieval method based on invariant features in the present invention, based on the invention research plan and theoretical block diagram, we perform three-level retrieval on the fingerprint database, that is, use the singular points for rough classification, and use the The second-level classification is carried out on the information between them, and the third-level classification is carried out by using the invariant moment feature, so as to achieve the purpose of fast and accurate retrieval. The following are respectively introduced as follows:

[0016] 1...

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Abstract

The invention relates to a multi-level fingerprint database retrieval method based on invariant distance features. The steps include: using singular points to perform rough classification; using information between singular points to perform second-level classification; using invariant moment-based features to perform third-level classification Classification, the present invention is based on the multi-level fingerprint database retrieval method based on the invariant moment feature. On the existing basis, the invariant moment feature is introduced to establish a three-level index mechanism. In the third level, a fingerprint image ROI with the same reference point is extracted. The orthogonal invariant moment feature of the region is used to overcome the influence of rotation and displacement of the input image, thereby improving the reliability and stability of the system. The research results of the present invention have high academic application value in the fields of fingerprint image analysis, identification, image retrieval, information security and the like.

Description

technical field [0001] The invention relates to a multi-level fingerprint database retrieval method based on invariant moment features, which performs fingerprint database indexing through fingerprint categories, information between singular points and invariant moment features. Background technique [0002] Image database technology is the product of the combination of image processing technology and database technology. Traditional databases mainly process text and numbers. With the development of image database technology, indexing technology based on relational databases can no longer efficiently process image databases. The indexing mechanism and matching method of the fingerprint database are also very different from those of the image database. Practice has shown that fingerprint identification technology has high accuracy and reliability today. The application of various fingerprint identification technologies needs to be connected with the fingerprint database, an...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/30G06K9/62
Inventor 杨巨成吴军方志军伍世虞焦焰斌卢宇胡晓日
Owner JIANGXI UNIVERSITY OF FINANCE AND ECONOMICS
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