Detail publikace

Is There Any Similarity Between a Person's Left and Right Retina?

BISWAS, S. ROHDIN, J. MŇUK, T. DRAHANSKÝ, M.

Originální název

Is There Any Similarity Between a Person's Left and Right Retina?

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

It is often argued among biometric researchers that the left and right retinas of the same person are as different as the retinas of two different persons. In this paper we investigate to what extent this is true. We perform experiments where human volunteers are asked to judge whether a pair of the left and right retinal images displayed side-by-side belongs to the same person or two different persons. We also use two similarity measurements, structural similarity (SSIM) and cosine similarity, to do the investigation process automatically. Our experiments show that there is recognizable similarity in the left and right retina of a person. For a verification task done by human volunteers, the average accuracy was 82%. For identification tasks, automatic systems using cosine similarity were correct in up to 57%.

Klíčová slova

eye retina, similarity, cardiovascular system

Autoři

BISWAS, S.; ROHDIN, J.; MŇUK, T.; DRAHANSKÝ, M.

Vydáno

19. 9. 2019

Nakladatel

GI - Group for computer science

Místo

Darmstadt

ISBN

978-3-88579-690-9

Kniha

Proceedings of the 18th International Conference of the Biometrics Special Interest Group

Edice

Lecture Notes in Informatics

Strany od

71

Strany do

82

Strany počet

12

URL

https://ieeexplore.ieee.org/abstract/document/8897270

BibTex

@inproceedings{BUT159989,
  author="Sangeeta {Biswas} and Johan Andréas {Rohdin} and Tomáš {Mňuk} and Martin {Drahanský}",
  title="Is There Any Similarity Between a Person's Left and Right Retina?",
  booktitle="Proceedings of the 18th International Conference of the Biometrics Special Interest Group",
  year="2019",
  series="Lecture Notes in Informatics",
  pages="71--82",
  publisher="GI - Group for computer science",
  address="Darmstadt",
  isbn="978-3-88579-690-9",
  url="https://ieeexplore.ieee.org/abstract/document/8897270"
}

Dokumenty

BIOSIG_2019_paper_27.pdf