Iris identification method based on image segmentation and two-dimensional wavelet transformation

A two-dimensional wavelet and image segmentation technology, which is applied in character and pattern recognition, instruments, computer parts, etc., can solve the problems of rough description of iris texture, failure to obtain high correct recognition rate, and low correct recognition rate. The effect of high iris recognition rate

Inactive Publication Date: 2007-03-14
UNIV OF ELECTRONICS SCI & TECH OF CHINA
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Problems solved by technology

Although method 2 overcomes the limitations of previous systems caused by drift, rotation, and scaling, it is also insensitive to brightness changes and noise, and does not require very high quality of captured images. However, since this algorithm only uses a part of the iris texture Feature information, so did not get a high correct recognition rate
Method 3 uses different texture analysis strategies to extract texture features, and obtains a faster running speed, but it describes the iris texture relatively rough, and its correct recognition rate is still not very high

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  • Iris identification method based on image segmentation and two-dimensional wavelet transformation
  • Iris identification method based on image segmentation and two-dimensional wavelet transformation
  • Iris identification method based on image segmentation and two-dimensional wavelet transformation

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Embodiment Construction

[0116] Adopt the algorithm of the present invention, carry out experiment in CASIA iris database (version 1.0). We randomly selected 100 sets of iris images from the CASIA database. Four images were taken from each group of iris images, and a total of 400 iris images were used for the experiment. In the learning stage, 252 mean and variance feature values ​​are extracted from the 4 iris images in each group of iris images, and then the mean value of the feature values ​​of these 4 images is taken as the last sample feature value corresponding to the group of iris images. into the sample database. Similarly, we extract the sample feature values ​​of these 100 sets of iris images and store them in the sample database. In the recognition stage, we use 400 iris images for pattern matching and recognition operations for each group of sample feature values ​​in the sample database. In this way, a total of 40,000 (400×100) pattern matching and recognition operations are performed....

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Abstract

The iris recognition method based on image segmentation and 2D wavelet transformation comprises: dividing the iris positioning into the key-point inner edge and an outer edge positioning; by mapping technology from Cartesian coordinate to polar coordinate, normalizing positioned image into a fixed gray matrix; then taking image segmentation for two times into 18 sub-areas finally; taking 2D wavelet transformation to extract the wavelet coefficient and variance as feature values from main wavelet channel; in matching and recognition algorithm, using reciprocal variance sum and different weighing values to obtain final result. Compared with prior art, this invention has well noise-proof feature and high recognition ratio without losing real-time.

Description

technical field [0001] The invention relates to an iris recognition method based on image segmentation and two-dimensional wavelet transform, which belongs to the technical field of biometric pattern recognition, and in particular relates to an iris feature recognition method. Background technique [0002] With the development of information technology and the wide application of e-commerce, information security has gradually become an important and urgent problem that people are facing. Biometric identification technology, which can be used for identity authentication and information security protection, has been paid more and more attention by people. The so-called biometric identification technology refers to the close combination of computer and high-tech means such as optics, acoustics and biostatistics, and the identification of personal identity by using the inherent physiological and behavioral characteristics of the human body. The iris feature recognition technolo...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00
Inventor 马争董自信
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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