Search Results - (( simulation optimization path algorithm ) OR ( iris segmentation using algorithm ))
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1
Adaptive Initial Contour and Partly-Normalization Algorithm for Iris Segmentation of Blurry Iris Images
Published 2022“…This algorithm is significant to solve inaccurate segmentation on blurry iris images.…”
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2
Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems
Published 2024“…The iris boundary is discovered using the suggested segmentation approach and a computational model of the pixel value. …”
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3
DEVELOPMENT OF IRIS RECOGNITION SYSTEM
Published 2016“…Hough transform method is used in iris segmentation to detect location of iris and pupil region in the image. …”
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Final Year Project -
4
Iris Segmentation Analysis using Integro-Differential Operator and Hough Transform in Biometric System
Published 2012“…Iris segmentation is foremost part of iris recognition system. …”
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5
Iris segmentation and normalization approach
Published 2008“…The algorithm is tested using iris images from CASIA database and MMU database. …”
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6
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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7
Eye closure and open detection using Adaptive Thresholding Histogram Enhancement (ATHE) technique and connected components utilisation
Published 2014“…Eye closure detection is an important operation prior to carry out the main algorithm such as iris recognition algorithms, and eye tracking algorithms. …”
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Mobile robot path optimization algorithm using vector calculus and mapping of 2 dimensional space
Published 2015“…A simulated robot in a simulated environment is used to test the algorithm that is to be developed. …”
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A generalized laser simulator algorithm for optimal path planning in constraints environment
Published 2022“…The results demonstrated that the proposed method could generate an optimal collision-free path. Moreover, the proposed algorithm result are compared to some common algorithms such as the A* algorithm, Probabilistic Road Map, RRT, Bi-directional RRT, and Laser Simulator algorithm to demonstrate its effectiveness. …”
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Thesis -
10
The Development Of A Robust Algorithm For Uav Path Planning In 3d Environment
Published 2016“…Therefore, the IE algorithm exhibits significant potential for UAV path planning optimization…”
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11
An efficient iris image thresholding based on binarization threshold in black hole search method
Published 2018“…Several algorithms have been proposed in order to segment the outer and lower boundary of the iris region. …”
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12
Route optimization using shortest path method / Muhamad Faisal Amin Shakri
Published 2025“…Each algorithm was tested to compute the shortest path, with results indicating that while all algorithms arrive at the same optimal route, their efficiency differs. …”
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13
Development of efficient iris identification algorithm using wavelet packets for smartphone application
Published 2017“…Performance of the proposed algorithm was tested on Chinese Academy of Sciences Institute of Automation (CASIA) iris image database. …”
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14
Simulation of identifying shortest path walkway in library by using ant colony optimization
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Undergraduates Project Papers -
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Cognitive map approach for mobility path optimization using multiple objectives genetic algorithm
Published 2023Subjects:Conference Paper -
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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 -
17
New algorithm for autonomous dynamic path planning in real-time intelligent robot car
Published 2017“…Different algorithms have been used to address this problem by considering the optimal path with minimum cost; however, these algorithms did not consider the execution time to find such path. …”
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Optimal QoS aware multiple paths web service composition using heuristic algorithms and data mining techniques
Published 2014“…The aim is to solve the above-mentioned problems via an optimization mechanism based upon the combination between runtime path prediction method and heuristic algorithms. …”
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19
Simulation of identifying shortest path walkway using particle swarm optimization (PSO)
Published 2012“…The purpose of this research is to present the development of the system of Simulation of Identifying Shortest Path Walkway using Particle Swarm Optimization(PSO). …”
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Undergraduates Project Papers -
20
Optimization of mobile robot path planning in semi-dynamic environment using genetic algorithm
Published 2023“…Finally, the simulation was conducted by implementing a random algorithm to verify the proposed GA in terms of the mobile robot's minimum and maximum path lengths. …”
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