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A Method of Iris Feature Extraction and Matching Based on Wavelet Packet Decomposition

A technology of wavelet packet decomposition and feature extraction, which is applied to the acquisition/recognition of eyes, instruments, calculations, etc., can solve the problems of iris feature extraction and matching in real time and poor adaptability, so as to improve the average discrimination time and accuracy, and enhance adaptability The effect of precision, speed and precision

Active Publication Date: 2020-06-02
BEIJING INST OF RADIO METROLOGY & MEASUREMENT
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Problems solved by technology

[0004] The technical problem to be solved by the present invention is to provide an iris feature extraction and matching method based on wavelet packet decomposition, which solves the problem of poor real-time and adaptability of iris feature extraction and matching on the basis of ensuring recognition accuracy

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  • A Method of Iris Feature Extraction and Matching Based on Wavelet Packet Decomposition
  • A Method of Iris Feature Extraction and Matching Based on Wavelet Packet Decomposition
  • A Method of Iris Feature Extraction and Matching Based on Wavelet Packet Decomposition

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[0023] In order to illustrate the present invention more clearly, the present invention will be further described below in conjunction with preferred embodiments and accompanying drawings. Similar parts in the figures are denoted by the same reference numerals. Those skilled in the art should understand that the content specifically described below is illustrative rather than restrictive, and should not limit the protection scope of the present invention.

[0024] The purpose of the present invention is to provide an iris feature extraction and matching method based on wavelet packet decomposition, which takes into account the speed and accuracy of iris feature extraction and matching, and improves the real-time and adaptability of iris recognition.

[0025] Taking the standard iris test image with a resolution of 480×640 as an example, it is assumed that the resolution of the normalized iris image is 64 (rows)×512 (columns). The concrete steps of a kind of iris feature extra...

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Abstract

The invention discloses an iris feature extraction and matching method. The method comprises: dividing a normalized iris image into blocks and performing denoising processing, and performing iris feature extraction on all sub-blocks after denoising to form a feature template; The sub-block image is decomposed by one layer of wavelet packet, and the radial texture feature and arc texture feature of the iris are extracted to form a circular feature vector; each sub-block image is decomposed by multi-layer wavelet packet, and the overall energy distribution feature and The local energy distribution feature forms the energy feature vector; the iris feature vector of the sub-block image is composed of the circumferential feature vector and the energy feature vector of the sub-block, and the iris feature vector of each sub-block image is composed of the feature template of the iris image; The feature template of the iris image is matched and recognized, and the classification is carried out step by step based on the similarity and Hamming distance. This scheme can effectively improve the real-time and adaptability of iris feature extraction and matching on the basis of ensuring the recognition accuracy.

Description

technical field [0001] The invention relates to the field of iris image processing and identification, in particular to an iris feature extraction method used in an iris biometric identification system. Background technique [0002] Iris recognition has significant advantages such as accuracy, stability, security and practicability. It is the most advanced biometric technology known at present and has a broad market prospect. In the actual iris recognition system, iris feature extraction and matching are the core links of iris recognition. Only by extracting as many stable and independent feature point information as possible, and adopting a reasonable classification and discrimination strategy, while taking into account the adaptability of the algorithm, Reducing the requirements for iris image acquisition and preprocessing can effectively improve the performance of the iris recognition application system, taking into account the accuracy and speed of recognition. [0003]...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00
CPCG06V40/197G06V40/193
Inventor 郭慧杰韩一梁杨昆王超楠杨倩倩张立
Owner BEIJING INST OF RADIO METROLOGY & MEASUREMENT
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