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Eye-based Vascular Patterns

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Encyclopedia of Cryptography, Security and Privacy
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Synonyms

Eye-based Vascular Biometrics; Eye-based Vascular Recognition; Retina Recognition; Sclera Recognition

Definitions

Vascular patterns, as formed by the blood vessel structure inside the human body, are used in biometrics to identify a human individual. The corresponding field in biometrics is thus termed “vascular biometrics” (Uhl et al. 2019; Uhl 2019) or “vascular recognition”. The following eye-based biometric modalities are typically classified into this trait category: Retina recognition (Mazumdar and Nirmala 2018) and sclera recognition (Das et al. 2013).

The vascular patterns have to be made visible and captured by a suitable biometric scanner device in order to use them to conduct biometric recognition. Both retina recognition as well as sclera recognition operate in the visible wavelength domain (VIS), however, the illumination requirements are fairly different.While being rather unproblematic for sclera recognition, imaging the retinal vascular network is accomplished...

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Notes

  1. 1.

    https://www.optomed.com/

  2. 2.

    https://www.d-eyecare.com/

References

  • Alkassar S, Woo W, Dlay S, Chambers J (2017) Sclera recognition: on the quality measure and segmentation of degraded images captured under relaxed imaging conditions. IET Biometrics 6(4):266–275

    Article  Google Scholar 

  • Das A, Pal U, Blumenstein M, Ballester MAF (2013) Sclera recognition - a survey. In: Second IAPR Asian Conference on Pattern Recognition (ACPR’13), pp 917–921

    Google Scholar 

  • Das S, Malathy C (2018) Survey on diagnosis of diseases from retinal images. Journal of Physics: Conference Series 1000(1):012,053

    Google Scholar 

  • Elhussieny N, El-Rewaidy H, Fahmy AS (2016) Low cost system for screening cardiovascular diseases in large population: preliminary results. In: 13th International IEEE Symposium on Biomedical Imaging (ISBI’18)

    Google Scholar 

  • Haddock L, Qian C (2015) Smartphone technology for fundus photography. Retinal Physician 12(6):51–58

    Google Scholar 

  • Jeffers J, Arakala A, Horadam KJ (2010) Entropy of feature point-based retina templates. In: 20th International Conference on Pattern Recognition (ICPR’10), pp 213–216, doi: https://doi.org/10.1109/ICPR.2010.61

  • Jini K, Lu H, Sun Z, Cheng C, Ye J, Qian D (2017) Telemedicine screening of retinal diseases with a handheld portable non-mydriatic fundus camera. BMC Ophthalmology 17:89

    Article  Google Scholar 

  • Khanamiri HN, Nakatsuka A, El-Annan J (2017) Smartphone fundus photography. Journal of Visualised Experiments 125:55,958

    Google Scholar 

  • Lin SJ, Yang CM, Yeh PT, Ho TC (2014) Smartphone fundoscopy for retinopathy of prematurity. Taiwan Journal of Ophthalmology 4(2):82 – 85

    Article  Google Scholar 

  • Maamari RN, Keenan J, Fletcher DA, Margolis T (2014) A mobile phone-based retinal camera for portable wide field imaging. The British Journal of Ophthalmology 98:438–441

    Article  Google Scholar 

  • Mazumdar JB, Nirmala SR (2018) Retina based biometric authentication system: A review. International Journal of Advanced Research in Computer Science 9(1)

    Google Scholar 

  • Miri M, Amini Z, Rabbani H, Kafieh R (2017) A comprehensive study of retinal vessel classification methods in fundus images. Journal of Medical Signals and Sensing 7(2):59–70

    Article  Google Scholar 

  • Swedish T, Roesch K, Lee I, Rastogi K, Bernstein S, Raskar R (2015) eyeselfie: Self directed eye alignment using reciprocal eye box imaging. ACM Trans Graph 34(4)

    Google Scholar 

  • Uhl A (2019) State of the art in vascular biometrics. In: Uhl A, Busch C, Marcel S, Veldhuis R (eds) Handbook of Vascular Biometrics, Springer Nature Switzerland AG, Cham, Switzerland, chap 1, pp 3 – 61, doi: https://doi.org/10.1007/978-3-030-27731-4

  • Uhl A, Busch C, Marcel S, Veldhuis R (2019) Handbook of Vascular Biometrics. Advances in Computer Vision and Pattern Recognition, Springer Nature Switzerland AG, Cham, Switzerland, doi: https://doi.org/10.1007/978-3-030-27731-4

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Correspondence to Andreas Uhl .

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Uhl, A. (2021). Eye-based Vascular Patterns. In: Jajodia, S., Samarati, P., Yung, M. (eds) Encyclopedia of Cryptography, Security and Privacy. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27739-9_1738-1

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  • DOI: https://doi.org/10.1007/978-3-642-27739-9_1738-1

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  • Print ISBN: 978-3-642-27739-9

  • Online ISBN: 978-3-642-27739-9

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