Swarm Intelligence for Iris Recognition - Zainal Abidin, Zaheera
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Swarm intelligence has been one of the methods of natural computing that falls under the artificial intelligence. The swarm intelligence is the winning algorithm since it searches for the genuine user effectively and tolerates with high noise in the iris template during the matching process in the iris recognition.

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Produktbeschreibung
Swarm intelligence has been one of the methods of natural computing that falls under the artificial intelligence. The swarm intelligence is the winning algorithm since it searches for the genuine user effectively and tolerates with high noise in the iris template during the matching process in the iris recognition.
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Autorenporträt
Zaheera Zainal Abidin was a project analyst, programmer, trainer and lecturer. She has been Senior Lecturer and Researcher at Universiti Teknikal Malaysia Melaka (UTeM) since 2009. She is CISCO certified (CCNA) in the computer networking field and certified Internet-of-Things specialist, and teaches subjects such as data communication, computer networks, project management, network security and physical security. She has published chapters in books, research journals (indexed and non-indexed) and proceedings and research grant proposals. Also, she is associate editor-in-chief for Journal of Advanced Computing Technology and Application (JACTA) and reviews journal articles. She has been awarded research grants from Ministry of Education Malaysia (FRGS, PRGS and TRGS) and industry (PPRN). Moreover, she loves to write about computer science and information security. She received Bachelor of Information Technology from University of Canberra, Australia and joined ExxonMobil Kuala Lumpur Regional Center as a Project Analyst. She completed her MSc. in Quantitative Sciences at the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia. In 2005, she served as a lecturer at Universiti Kuala Lumpur (UNIKL-MIIT) and as a program coordinator while completing her MSc. in Computer Networking also at the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia. In 2009, she joined Universiti Teknikal Malaysia Melaka (UTeM) and completed her PhD (2016) in IT and Quantitative Sciences from the Faculty of Computer and Mathematical Sciences, Universiti Teknologi MARA, Shah Alam, Selangor, Malaysia. She won a silver award at 2017 UTeM Exhibition on Feature Extraction based on Enhanced AntColonyOptimization for Iris Identification and a bronze award for Face Recognition using Raspberry PI at 2019 UTeM Exhibition. Research interests include Internet-of-Things, biometrics and network security. Also, she did consultations with Cyber Security Malaysia, Ministry of Health Malaysia and SigTech Solutions Malaysia.