Ayesha Hena Afzal

Work place: Department of Computer Science Engineering, JamiaHamdard, New Delhi, India

E-mail: ayesha.afzal1822@gmail.com


Research Interests: Applied computer science, Computational Engineering, Computer systems and computational processes, Computer Architecture and Organization, Theoretical Computer Science


Ayesha Hena Afzal has pursued her M.Tech from Jamia Hamdard, India in Computer Science Engineering and B.Tech in Computer Science Engineering from Nagpur University, Nagpur, Maharashtra in 2011 and 2018 respectively. She is a Gold Medalist of Engineering department at Jamia Hamdard. Her main interest is in security services provided by various biometric techniques especially iris recognition she has pursued.

Author Articles
Novel Secured Biometric System Procuring Miniaturized Prorogation

By Sherin Zafar Ayesha Hena Afzal M. Afshar Alam

DOI: https://doi.org/10.5815/ijcnis.2018.11.04, Pub. Date: 8 Nov. 2018

Different organizations in today’s scenario are fully dependent on information technology for their survival, suffer from various security challenges like unauthorized access, physical damages etc. To avoid various security breaches and concerns, robust mechanism for user access need to be adopted that not only secure of valuable data but can also be utilized for developing various other security applications. “Biometric” secured technology is gaining attention for over traditional security mechanism like password, smart card etc. because information related to biometric are difficult to steal as compared to other mechanisms. In this research analysis “strong biometric approach” is proposed to overcome security apprehensions of various organizations& society through iris recognition system. Iris recognition system is a mechanism to identify a person through analyzing his or her iris pattern. This recognition system includes iris image acquisition, segmentation, normalization, encoding, matching and finally validation of iris templates. The iris recognition system developed and simulated in this research study has taken IIT database iris images as inputs and utilized hamming distance as the matching parameter. The simulated results depict an efficient and novel secured approach that will overcome various unauthorized accesses across the internet. The most novel approach of this iris based recognition system as compared to other traditional systems is that, if selected images are matched with trained iris images present in database then the resultant hamming distance as most of the iris recognition systems directly accept or reject images and causes huge congestion and execution prorogations.

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