Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Mikhail Vladimirovich Korobkin"'
Autor:
I. Solomatin, I. A. Matveev, Mikhail Vladimirovich Korobkin, Yu. S. Efimov, Odinokikh Gleb Andreevich
Publikováno v:
Pattern Recognition and Image Analysis. 28:652-657
Iris segmentation is an irreplaceable stage of iris recognition pipeline. Its quality hugely affects overall accuracy. Previously when conditions were mild and controlled the task was solved by image processing techniques and rule based approaches. N
Autor:
I. A. Matveev, Odinokikh Gleb Andreevich, Mikhail Vladimirovich Korobkin, I. Solomatin, Iu. Efimov
Publikováno v:
Pattern Recognition and Image Analysis. 28:670-675
The ability to provide reliable protection against counterfeiting is one of the key requirements for a biometric security system. Iris recognition as the technology emerging on mobile market is assumed to handle various types of spoof attacks to prev
Autor:
Odinokikh Gleb Andreevich, Mikhail Vladimirovich Korobkin, Michael N. Rychagov, Eremeev Vladimir Alekseevich, Gnatyuk Vitaly Sergeevich, Alexey Mikhailovich Fartukov
Publikováno v:
Pattern Recognition and Image Analysis. 28:516-524
In spite of a fact that many standalone iris recognition solutions are successfully implemented and deployed around the world, development of a reliable iris recognition solution capable to provide high recognition performance (both in biometric qual
Autor:
Solomatin Ivan Andreevich, Alexey Mikhailovich Fartukov, Efimov Iurii Sergeevich, Mikhail Vladimirovich Korobkin, Odinokikh Gleb Andreevich
Publikováno v:
ICB
Biometric methods are increasingly penetrating the field of mobile applications, confronting researchers with a huge number of problems that have not been considered before. Many different interaction scenarios in conjunction with the mobile device p
Autor:
Odinokikh Gleb Andreevich, Eremeev Vladimir Alekseevich, Gnatyuk Vitaly Sergeevich, Mikhail Vladimirovich Korobkin
Publikováno v:
Communications in Computer and Information Science ISBN: 9783030353995
IDP
IDP
Information about eyelid position in an image is used during iris recognition for eyelid and eyelash noise removal, iris image quality estimation and other purposes. Eyelid detection is usually performed after iris-sclera boundary localization which
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6b40297b4480b7b1315e86474f9a0c59
https://doi.org/10.1007/978-3-030-35400-8_10
https://doi.org/10.1007/978-3-030-35400-8_10
Autor:
Odinokikh Gleb Andreevich, Alexey Mikhailovich Fartukov, Mikhail Vladimirovich Korobkin, Yoo Juwoan
One of the basic stages of iris recognition pipeline is iris feature vector construction procedure. The procedure represents the extraction of iris texture information relevant to its subsequent comparison. Thorough investigation of feature vectors o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c0a2981ccadb01c2c3532fa6dcb58876
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W4/233/2017/
https://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W4/233/2017/