Pregled bibliografske jedinice broj: 924200
Compression of iris images in the safety of marine systems using image procesing methods and classified vector quantization
Compression of iris images in the safety of marine systems using image procesing methods and classified vector quantization // 17th International Conference on Transport Science – ICTS 2015
Portorož, 2015. str. 28-34 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 924200 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Compression of iris images in the safety of marine systems using image procesing methods and classified vector quantization
Autori
Čorić, Mirko ; Gudelj, Anita
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
17th International Conference on Transport Science – ICTS 2015
/ - Portorož, 2015, 28-34
Skup
17th International Conference on Transport Science – ICTS 2015
Mjesto i datum
Portorož, Slovenija, 21.05.2015. - 22.05.2015
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Marine safety, iris recognition, classified vector quantization, image processing
Sažetak
Iris recognition system occupies a larger and larger place in biometric identification because of its reliability. Popularity of this type of identification is growing in maritime systems, such as port security, coast guard, etc. Iris images need to be stored in databases and often sent over communication channel in large variety of biometric identification systems used in marine. Consequently, iris images should be compressed while maintaining acceptable accuracy in identification process. This paper explores advantages of Classified Vector Quantization (CVQ) compression method combined with some standard image processing methods, such as contrast, brightness, etc. Compressed iris images should differ from original images as less as possible. Experiments presented in this paper show that processed iris images are less different from original images than unprocessed iris images at the same bit rate level.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport, Informacijske i komunikacijske znanosti
POVEZANOST RADA
Ustanove:
Pomorski fakultet, Split