Zobrazeno 1 - 10 of 19 pro vyhledávání: '"J. Jenkin Winston"'
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Akademický článek
Novel Optimization Based Hybrid Self-Organizing Map Classifiers for Iris Image Recognition
Autor: J. Jenkin Winston, Gul Fatma Turker, Utku Kose, D. Jude Hemanth
Publikováno v: International Journal of Computational Intelligence Systems, Vol 13, Iss 1 (2020)
The concern over security in all fields has intensified over the years. The prefatory phase of providing security begins with authentication to provide access. In many scenarios, this authentication is provided by biometric systems. Moreover, the thr
Externí odkaz: https://doaj.org/article/14021f0b0d0a4dc2933f2308334ab5fe
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4
Combination of Thermal and sRGB imaging Techniques for Advanced Surveillance System
Autor: Bharat Bhushan, Mohd Helmy Abd Wahab, K. Martin Sagayam, J. Jenkin Winston, Radzi Ambar, Hazwaj Mhd Poad, Ambar
Publikováno v: Annals of Emerging Technologies in Computing. 5:27-33
Surveillance is described as close observation; this term is used mostly when it comes to security observations and recording. Nowadays in our daily life we see the need of security rising up with the constant increase in the world of technology and
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::043958dea995feff52bbd5adc78d1b02
https://doi.org/10.33166/aetic.2021.05.003
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6
Hybrid deep convolutional neural models for iris image recognition
Autor: Anastassia Angelopoulou, J. Jenkin Winston, Epaminondas Kapetanios, D. Jude Hemanth
This paper briefly explains about the application of deep learning-based methods for biometric applications. This work attempts to solve the problem of limited availability of datasets which affects accuracy of the classifiers. This paper explores th
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d3b5ff529e9238b10afa513e9f3babc1
https://doi.org/10.1007/s11042-021-11482-y
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7
Novel Optimization Based Hybrid Self-Organizing Map Classifiers for Iris Image Recognition
Autor: Gul Fatma Turker, D. Jude Hemanth, Utku Kose, J. Jenkin Winston
Publikováno v: International Journal of Computational Intelligence Systems, Vol 13, Iss 1 (2020)
The concern over security in all fields has intensified over the years. The prefatory phase of providing security begins with authentication to provide access. In many scenarios, this authentication is provided by biometric systems. Moreover, the thr
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8816aeecf2f2841a9fff5babb5c01c8
https://www.atlantis-press.com/article/125942976/view
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8
A comprehensive review on iris image-based biometric system
Autor: J. Jenkin Winston, D. Jude Hemanth
Publikováno v: Soft Computing. 23:9361-9384
Iris image-based biometric systems are commonly used in applications that demand security, authentication, recognition and faster login access. In solving these real-time problems, the impact of soft computing techniques which employ cognitive skills
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4f46ba512cfebcf947c7271a3f3e5c09
https://doi.org/10.1007/s00500-018-3497-y
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10
Iris Image Error Correction Techniques
Autor: Olive Teresa, Shruti Sekar, Prashanthi, Sarah, J. Jenkin Winston
Publikováno v: 2019 2nd International Conference on Signal Processing and Communication (ICSPC).
In today's world, security has gotten paramount. Many biometric methods like facial expression recognition system and Iris recognition system have been developed. Iris biometry helps in identifying an individual in a more intuitive and natural manner
Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::de48e3c2636bc579041237ec74baaa8a
https://doi.org/10.1109/icspc46172.2019.8976522
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