Publication Details
Retina Recognition Using Crossings and Bifurcations
Drahanský Martin, prof. Ing., Ph.D.
biometrics, human eye, human retina, biometric recognition, blood-vessel
bifurcation, blood-vessel crossing, retina imaging, image processing, biometric
entropy
Recognition of people on the basis of biometric characteristics has been known
for many centuries. One of the most used biometric features is fingerprint.
Recently, we have also come across the iris pattern more often. Retinal
recognition offers similarly reliable mechanisms, but they are not yet well
explored. Our procedure for obtaining a biometric pattern is partly based on
fingerprints. In comparison with fingerprints, retinal recognition identifies
bifurcations or optical crossings, i.e., instead of papillary lines, the vessels
are used. The procedure is more complicated due to the multiple layers in which
the blood vessels intersect. Our work deals with determining the probabilities
for various areas of the retina in which bifurcation and crossing occur. It also
describes how recognition can be affected by various diseases.
@inbook{BUT168437,
author="Lukáš {Semerád} and Martin {Drahanský}",
title="Retina Recognition Using Crossings and Bifurcations",
booktitle="Applications of Pattern Recognition",
year="2021",
publisher="InTech - Open Access Publisher",
address="London",
pages="77--94",
doi="10.5772/intechopen.96142",
isbn="978-1-78985-332-2",
url="https://www.intechopen.com/books/8734"
}