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  1. 1
    DEVELOPMENT OF IRIS RECOGNITION SYSTEM

    DEVELOPMENT OF IRIS RECOGNITION SYSTEM by Mohd Kamarudin, Nur Eliza

    Published 2016
    “…This project implements an iris recognition algorithm as a biometric identification. …”
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  2. 2
    Iris Recognition As Biometric Authentication

    Iris Recognition As Biometric Authentication by Kamaruddin, Muhammad Khairulsyamim

    Published 2016
    “…Biometric authentication system utilises the behavioural and physical traits to identify individuals. In this project, an iris recognition technique based on the John Daugman’s algorithm is used. …”
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  3. 3
    Development of Real-Time Eye Tracking Algorithm

    Development of Real-Time Eye Tracking Algorithm by Anwar, S.N.S.S., Aziz, A.A., Adil, S.H.

    Published 2021
    “…The eye tracking algorithm is implemented in OpenCV using Python Software for ease of portability. …”
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  4. 4
    A New Model of Securing Iris Authentication Using Steganography

    A New Model of Securing Iris Authentication Using Steganography by Zainal Abidin, Zaheera, Manaf, Mazani, Shibghatullah, Abdul Samad

    Published 2011
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  5. 5
    Iris Segmentation Analysis using Integro-Differential Operator and Hough Transform in Biometric System

    Iris Segmentation Analysis using Integro-Differential Operator and Hough Transform in Biometric System by Zainal Abidin, Zaheera, -, M.Manaf, Shibghatullah, Abdul Samad, -, S.H.A.Mohd Yunos, -, S.Anawar, -, Z.Ayop

    Published 2012
    “…Here, iris segmentation has been implemented using Hough Transform and Integro-Differential Operator techniques. …”
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  6. 6
    Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System

    Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System by Zainal Abidin, Zaheera, Anawar, Syarulnaziah, Ayop, Zakiah, Manaf, Mazani, Shibghatullah, A.S., Mohd Yunos, S.H.A.

    Published 2012
    “…Iris segmentation is foremost part of iris recognition system.There are four steps in iris recognition: segmentation,normalization,encoding and matching.Here, iris segmentation has been implemented using Hough Transform and IntegroDifferential Operator techniques.The performance of iris recognition system depends on segmentation and normalization technique.Iris recognition systems capture an image from individual eye.Then the image captured is segmented and normalized for encoding process.The matching technique,Hamming Distance,is used to match the iris codes of iris in the database weather it is same with the newly enrolled for verification stage.These processes produce values of average circle pupil,average circle iris,error rate and edge points.The values provide acceptable measures of accuracy False Accept Rate (FAR) or False Reject Rate (FRR).Hough Transform algorithm,provide better performance,at the expense of higher computational complexity.It is used to evolve a contour that can fit to a non-circular iris boundary.However,edge information is required to control the evolution and stopping the contour.The performance of Hough Transform for CASIA database was 80.88% due to the lack of edge information.The GAR value using Hough Transform is 98.9% genuine while 98.6% through Integro-Differential Operator.…”
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  7. 7
    Hardware prototyping of Iris recognition system: A neural network approach

    Hardware prototyping of Iris recognition system: A neural network approach by Florence Choong Chiao Mei, Mamun Ibne Reaz, Tan, Ai Leng, Faisal Mohd Yasin

    Published 2007
    “…Image processing involves histogram stress, thresholding, cropping, transformation and normalizing that is performed by using Matlab. Multilayer perceptron architecture with backpropagation algorithm is employed to recognize iris pattern. …”
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  8. 8
    Detection of corneal arcus using rubber sheet and machine learning methods

    Detection of corneal arcus using rubber sheet and machine learning methods by Ramlee, Ridza Azri

    Published 2019
    “…The segmentation iris is transformed to rectangular shape using the Rubber Sheet method. …”
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  9. 9
    Three-term backpropagation algorithm for classification problem

    Three-term backpropagation algorithm for classification problem by Saman, Fadhlina Izzah

    Published 2006
    “…Standard Backpropagation Algorithm (BP) is a widely used algorithm in training Neural Network that is proven to be very successful in many diverse application. …”
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  10. 10
    DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS

    DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS by AZMAN, MOHAMAD AFIQ

    Published 2014
    “…The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. …”
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  11. 11
    DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS

    DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS by AZMAN, MOHAMAD AFIQ

    Published 2014
    “…The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. …”
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  12. 12
    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly

    Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly by Zulkifly, Ahmad Zuladzlan

    Published 2019
    “…In order to make the normal people can cluster their data easily, this project aims is to develop a web-based clustering tool that can be used by all peoples. This project will use fuzzy k-means clustering algorithm to cluster the data because it is easy to implement and have many advantages. …”
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  13. 13
    An implementation of regional descriptor and line roi in development of semi-automated strabismus detection system

    An implementation of regional descriptor and line roi in development of semi-automated strabismus detection system by Zolkifli, Nur Syazlin

    Published 2022
    “…In feature extraction, binarization and morphological operations are implemented to identify the location of the iris and the misalignment measurement. …”
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  14. 14
    Embedded system for biometric identification based on iris detection

    Embedded system for biometric identification based on iris detection by Ahmad Nasir, Che Rosli, R. Badlishah, Ahmad, Ali Yeon, Md Shakaff, Mohamad Rizon, Mohamed Juhari

    Published 2009
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  15. 15
    Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks

    Fuzzy logic-based intelligent scheme for enhancing QoS of vertical handover decision in vehicular ad-hoc networks by Azzali, Fazli, Ghazali, Osman, Omar, Mohd Hasbullah

    Published 2017
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  16. 16
    A multimodal biometric detection system via rotated histograms using hough lines

    A multimodal biometric detection system via rotated histograms using hough lines by Fatma Susilawati, Mohamad, Zahraddeen, Sufyanu

    Published 2015
    “…The new technique can be used to detect the aforementioned biometric traits using the same feature extraction algorithm at limited time, since each biometric trait’s dimensions was drastically reduced. …”
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  17. 17
    Enhancing obfuscation technique for protecting source code against software reverse engineering

    Enhancing obfuscation technique for protecting source code against software reverse engineering by Mahfoudh, Asma

    Published 2019
    “…The proposed technique can be enhanced in the future to protect games applications and mobile applications that are developed by java; it can improve the software development industry. …”
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  18. 18
    Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri

    Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri by ‘Asri, Nur Nadia Syahirah

    Published 2017
    “…Furthermore, the system was developed using Fingerprint Matching Algorithm (FMA), Image Processing technique and embedded programming technique. …”
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  19. 19
    Fuzzy-PID controller for semi-active vibration control using magnetorheological fluid damper

    Fuzzy-PID controller for semi-active vibration control using magnetorheological fluid damper by Kasemi, Banna, Abdul Muthalif, Asan Gani, Muhammad , Mahbubur Rashid, Fathimah, Sharmila

    Published 2012
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  20. 20
    Security system using biometric technology: Design and implementation of voice recognition system (VRS)

    Security system using biometric technology: Design and implementation of voice recognition system (VRS) by A. Rashid, Rozeha, Mahalin, Nur Hija, Sarijari, Mohd. Adib, Abdul Aziz, Ahmad Aizuddin

    Published 2008
    “…Verification algorithm is developed using MATLAB (SIMULINK) function blocks which is capable of authenticating a person's identity by his or her voice pattern. …”
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