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DEVELOPMENT OF IRIS RECOGNITION SYSTEM
Published 2016“…This project implements an iris recognition algorithm as a biometric identification. …”
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Final Year Project -
2
Iris Recognition As Biometric Authentication
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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Final Year Project -
3
Development of Real-Time Eye Tracking Algorithm
Published 2021“…The eye tracking algorithm is implemented in OpenCV using Python Software for ease of portability. …”
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Conference or Workshop Item -
4
Study and Implementation of Data Mining in Urban Gardening
Published 2019“…The system is essentially a three-part development, utilising Android, Java Servlets, and Arduino platforms to create an optimised and automated urban-gardening system. …”
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Article -
5
A New Model of Securing Iris Authentication Using Steganography
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Iris Segmentation Analysis using Integro-Differential Operator and Hough Transform in Biometric System
Published 2012“…Here, iris segmentation has been implemented using Hough Transform and Integro-Differential Operator techniques. …”
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Article -
7
Iris Segmentation Analysis Using Integro-Differential Operator And Hough Transform In Biometric System
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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Article -
8
Hardware prototyping of Iris recognition system: A neural network approach
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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Article -
9
Detection of corneal arcus using rubber sheet and machine learning methods
Published 2019“…The segmentation iris is transformed to rectangular shape using the Rubber Sheet method. …”
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Thesis -
10
Three-term backpropagation algorithm for classification problem
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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Thesis -
11
DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
Published 2014“…The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. …”
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Final Year Project -
12
DEVELOPMENT OF NODE RELIABILITY DETECTION ALGORITHM FOR WIRELESS SENSOR NETWORKS
Published 2014“…The proposed algorithm is then implemented on hardware compounding of several IRIS sensor motes. …”
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Final Year Project -
13
Web-based clustering tool using fuzzy k-mean algorithm / Ahmad Zuladzlan Zulkifly
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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Thesis -
14
An implementation of regional descriptor and line roi in development of semi-automated strabismus detection system
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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Thesis -
15
Embedded system for biometric identification based on iris detection
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Article -
16
Web-based expert system for material selection of natural fiber- reinforced polymer composites
Published 2015“…Finally, the developed expert system was deployed over the internet with central interactive interface from the server as a web-based application. As Java is platform independent and easy to be deployed in web based application and accessible through the World Wide Web (www), this expert system can be one stop application for materials selection.…”
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Thesis -
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A multimodal biometric detection system via rotated histograms using hough lines
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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Article -
19
Smart biosecurity door locking system / Nur Nadia Syahirah ‘Asri
Published 2017“…Furthermore, the system was developed using Fingerprint Matching Algorithm (FMA), Image Processing technique and embedded programming technique. …”
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Thesis -
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