Search Results - (( iris segmentation using algorithm ) OR ( java application testing algorithm ))

Adaptive Initial Contour and Partly-Normalization Algorithm for Iris Segmentation of Blurry Iris Images by Jamaludin, Shahrizan, Mohamad Ayob, Ahmad Faisal, Mohd Norzeli, Syamimi, Mohamed, Saiful Bahri

“…This algorithm is significant to solve inaccurate segmentation on blurry iris images.…”
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Black hole algorithm along edge detector and circular hough transform based iris projection with biometric identification systems by Tara Othman Qadir, Tara Othman Qadir, N.S.A.M Taujuddin, N.S.A.M Taujuddin

“…The iris boundary is discovered using the suggested segmentation approach and a computational model of the pixel value. …”
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DEVELOPMENT OF IRIS RECOGNITION SYSTEM by Mohd Kamarudin, Nur Eliza

“…Hough transform method is used in iris segmentation to detect location of iris and pupil region in the image. …”
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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

“…Iris segmentation is foremost part of iris recognition system. …”
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Iris segmentation and normalization approach by Shamsi, Mahboubeh, Saad, Puteh, Rasouli, Abdolreza

“…The algorithm is tested using iris images from CASIA database and MMU database. …”
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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.

“…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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Eye closure and open detection using Adaptive Thresholding Histogram Enhancement (ATHE) technique and connected components utilisation by Mat Ibrahim, Masrullizam, Awang Md Isa, Azmi, Darsono, Abd Majid

“…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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An efficient iris image thresholding based on binarization threshold in black hole search method by Danlami, Muktar, Ramli, Sofia Najwa, Jemain, Nur Izzah Syahira, Pindar, Zahraddeen, Jamel, Sapiee, Deris, Mustafa Mat

“…Several algorithms have been proposed in order to segment the outer and lower boundary of the iris region. …”
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Development of efficient iris identification algorithm using wavelet packets for smartphone application by Gunawan, Teddy Surya, Solihin, Nurul Shaieda, Morshidi, Malik Arman, Kartiwi, Mira

“…Performance of the proposed algorithm was tested on Chinese Academy of Sciences Institute of Automation (CASIA) iris image database. …”
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Iris Recognition As Biometric Authentication by Kamaruddin, Muhammad Khairulsyamim

“…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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Feature Extraction From Epigenetic Traits Using Edge Detection In Iris Recognition System by Zainal Abidin, Zaheera, Manaf, Mazani, Shibghatullah, Abdul Samad

“…Most iris recognition systems use algorithms developed by Daugman. …”
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Detection of corneal arcus using rubber sheet and machine learning methods by Ramlee, Ridza Azri

“…The segmentation iris is transformed to rectangular shape using the Rubber Sheet method. …”
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Biometric identification and recognition for IRIS using Failure Rejection Rate (FRR) / Musab Ahmed Mohammed Ali Al-Rawi by Mohammed Ali Al-Rawi, Musab Ahmed

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Model of Bayesian tangent eye shape for eye capture by Nsaef, Asama Kuder, Jaafar, Azizah, Sliman, Layth, Sulaiman, Riza, O. K. Rahmat, Rahmita Wirza

“…Using the algorithms proposed by J. Daugman, Iris recognition system has significantly improved over the last decade, and it has been used in so many practical applications. …”
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Biometric identification and recognition for iris using failure rejection rate (FRR) / Musab A. M. Ali by M. Ali, Musab A.

“…Hence, the objectives of this research are new algorithms development significantly for iris segmentation specifically the proposed Fusion of Profile and Mask Technique (FPM) specifically in getting the actual center of the pupil with high level of accuracy prior to iris localization task, followed by a particular enhancement in iris normalization that is the application of quarter size of an iris image (instead of processing a whole or half size of an iris image) and for better precision and faster recognition with the robust Support Vector Machine (SVM) as classifier. …”
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RSA Encryption & Decryption using JAVA by Ramli, Marliyana

“…The implementation of this project will be based on Rapid Application Design Methodology (RAD) and will be more focusing on research and finding, ideas and the implementation of the algorithm, and finally running and testing the algorithm. …”
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Automatic ear recognition under varying illumination / Ali Abd Almisreb by Abd Almisreb, Ali

“…For feature extraction, we used ID log- Gabor filter to generate an ear code and hamming distance is utilized as matching algorithm. …”
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Adaptive speech synthesis module with emotional expression by Hassan Abdalla Hashim, Aisha, Ahmed, Mustafa, Khalifa, Othman Omran

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Comparison of Search Algorithms in Javanese-Indonesian Dictionary Application by Yana Aditia, Gerhana, Nur, Lukman, Arief Fatchul, Huda, Cecep Nurul, Alam, Undang, Syaripudin, Devi, Novitasari

“…Performance Testing is used to test the performance of algorithm implementations in applications. …”
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Development of an intelligent multimodal biometric system for household appliances control by Abiodun musa, Aibinu

“…To this effect, a novel skin segmentation algorithm using artificial neural network (ANN) technique was developed and this was deployed to segment the palmprint and face images from the background. …”
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