Fingerprint image quality evaluation method based on main component analysis

A principal component analysis, fingerprint image technology, applied in image analysis, image data processing, instruments, etc., to achieve high performance, simple methods, and intuitive results

Active Publication Date: 2014-06-11
INST OF AUTOMATION CHINESE ACAD OF SCI
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  • Summary
  • Abstract
  • Description
  • Claims
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Problems solved by technology

But how to obtain features of image patches with distinguishable rows is still a challenging problem

Method used

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  • Fingerprint image quality evaluation method based on main component analysis
  • Fingerprint image quality evaluation method based on main component analysis
  • Fingerprint image quality evaluation method based on main component analysis

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Embodiment Construction

[0018] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in further detail below in conjunction with specific embodiments and with reference to the accompanying drawings.

[0019] figure 1 It is a flow chart of the fingerprint image quality evaluation method based on principal component analysis proposed by the present invention. Such as figure 1 As shown, the method includes the following steps:

[0020] Step A, block the input fingerprint image to obtain multiple image blocks;

[0021] For an input fingerprint image I, divide the input fingerprint image into image blocks g of size W×W (W=16) k (x, y), where x, y∈{0, . . . , W−1}, k=1, . . . , N, N represents the number of image blocks. For an input fingerprint image, the block rule is from left to right, from top to bottom, and finally the image block that is less than W×W, and the insufficient part is filled with 0.

[0022] Step B, ...

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Abstract

The invention discloses a fingerprint image quality evaluation method based on main component analysis. The method comprises the following steps of: blocking an input fingerprint image; acquiring field pixel information of each pixel point in the image blocks, and forming a block sample matrix; acquiring a projection matrix and a characteristic value vector of the block sample matrix by a main component analyzing method; calculating characteristics for image block quality judgment from the projection matrix and the characteristic value vector; obtaining the local block quality of the image blocks by the multiplication rule; and obtaining the overall quality of the input fingerprint image through the combination of block Harris strength. The method is simple; a result is intuitive; the quality of the input fingerprint image can be accurately and quantitatively reflected by the method; and the high performance of automatic fingerprint identification technology is ensured by the method.

Description

technical field [0001] The invention belongs to the field of biological feature identification, in particular to a fingerprint image quality judgment method based on principal component analysis. Background technique [0002] Fingerprint identification technology is a biometric identification technology that reads the fingerprint image through the imaging device, then extracts the characteristic data of the fingerprint with computer identification software, and finally obtains the identification result through a matching identification algorithm to determine the identity of the fingerprint owner. It mainly involves processes such as fingerprint image acquisition, fingerprint image processing, feature extraction, data storage, comparison and matching of feature values. With the continuous progress of computer technology and information processing and identification technology, fingerprint identification technology has developed rapidly and has become the most mature and accep...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06K9/46
Inventor 田捷陶训强杨鑫
Owner INST OF AUTOMATION CHINESE ACAD OF SCI
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