Opto-Electronic Engineering, Volume. 36, Issue 9, 132(2009)

Identification Recognition Based on High Resolution Retinal Capillary Vessel Image of Human Eye

QI Chuan-qi1、*, BAO Hua2,3, YANG Han-sheng2,3, and DAI Yun2
Author Affiliations
  • 1[in Chinese]
  • 2[in Chinese]
  • 3[in Chinese]
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    Retina recognition has the advantages of high stability and security. Because low resolution retina image obtained by traditional fundus camera is difficult to be coded and matched, retina identification recognition is not widely applied. High resolution capillary vessel image is acquired by adaptive optics high resolution retina imaging technique, and the texture of image is extracted by Gabor filters after being normalized and denoised. The character matching is completed by Hamming distance. Experimental results show that the proposed method can accurately identify different samples and is feasible. Retina capillary vessel identification recognition extends the application of adaptive optics high resolution retina imaging technique and has a potential application in some important situation.

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    QI Chuan-qi, BAO Hua, YANG Han-sheng, DAI Yun. Identification Recognition Based on High Resolution Retinal Capillary Vessel Image of Human Eye[J]. Opto-Electronic Engineering, 2009, 36(9): 132

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    Paper Information

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    Received: Mar. 21, 2009

    Accepted: --

    Published Online: Jan. 31, 2010

    The Author Email: Chuan-qi QI (qichuanqi@163.com)

    DOI:10.3969/j.issn.1003-501x.2009.09.024

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