Recognition of Eye Characteristics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F18%3APU130695" target="_blank" >RIV/00216305:26230/18:PU130695 - isvavai.cz</a>
Result on the web
<a href="https://www.intechopen.com/books/machine-learning-and-biometrics/recognition-of-eye-characteristics" target="_blank" >https://www.intechopen.com/books/machine-learning-and-biometrics/recognition-of-eye-characteristics</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.5772/intechopen.76026" target="_blank" >10.5772/intechopen.76026</a>
Alternative languages
Result language
angličtina
Original language name
Recognition of Eye Characteristics
Original language description
The chapter deals with characteristics of the eye - iris and retina. In the chapter there is a brief history of these devices, an introduction to ophthalmology (medical devices, especially for the retina of the eye), a presentation of the imaging technologies for the iris, but also the eye retina, algorithms for recognition and extraction of important features. Diseases that affect the recognition process are also discussed. Part of the text is a sample of the results of our own research and development - both retinal scanning devices, as well as algorithms for detecting pathologies and detecting and extracting important features from both eye characteristics.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
<a href="/en/project/LQ1602" target="_blank" >LQ1602: IT4Innovations excellence in science</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Book/collection name
Machine Learning and Biometrics
ISBN
978-1-78923-590-6
Number of pages of the result
29
Pages from-to
7-35
Number of pages of the book
135
Publisher name
InTech - Open Access Publisher
Place of publication
London
UT code for WoS chapter
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