Open Access
Iris Recognition Using Robust Algorithm for Eyelid, Eyelash and Shadow Avoiding
Zyad Thalji,Mutasem K. Alsmadi +1 more
- 01 Jan 2013
TL;DR: Results demonstrate that the proposed method outperforms state-of-the-art methods in both accuracy and speed, where the overall accuracy results of the recognition rate and error rate are equal to 98.82%, 1.18% respectively.
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Abstract: Eyelids, eyelashes and shadows are three major challenges for effective iris segmentation, which have not been adequately addressed in the current literature. In this paper, we present a novel method for Iris recognition (IR) based on color images. Firstly; extracting of the color values from Iris images using RGB color space, which is represented as vectors in the form of 3D-RGB color space. Secondly; determine the center pupil and external contour of iris circle. Thirdly; taking a sub Iris image to extracted the iris print, then merge the three sub image in one array to make the aggregation. Then, a smart prediction model is established to determine an appropriate threshold for eyelash and (eyelid or shadow) detection. Finally; Fourier Fast Transform (FFT) is used to recognize the Iris print. Our proposed method has been applied on 100 Iris images which obtained from CASIA iris images database. Experimental results on the challenging CASIA-iris image database demonstrate that the proposed method outperforms state-of-the-art methods in both accuracy and speed, where the overall accuracy results of the recognition rate and error rate are equal to 98.82%, 1.18% respectively.
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Real-Time Elderly Healthcare Monitoring Expert System Using Wireless Sensor Network
Ibrahim Almarashdeh,Mutasem K. Alsmadi,Tamer Hanafy,Abdullah S. Albahussain,aUsama Badawi,Njoud Altuwaijri,Hala Almaimoni,Fatima Asiry,Shahad Alowaid,Muneerah Alshabanah,Daniah Alrajhi,Amirah Al Fraihet,Ghaith M. Jaradat +12 more
TL;DR: In this paper, an expert system for an Elderly Health Care (EHC) at elderly home tailored for the specific needs of Elderly is presented, which aims to develop an integrated and multidisciplinary method to employ communication technologies and information for covering real health needs of elderly people.
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•Posted Content
Arabic Voice Recognition Using Fuzzy Logic and Neural Network
Lubna Eljawad,Rami Aljamaeen,Mutasem K. Alsmadi,Ibrahim Almarashdeh,Hayam Abouelmagd,Sanaa Alsmadi,Firas Haddad,Raed Ali Al-Khasawneh,Mohammed alzughoul,Malik Bader Alazzam +9 more
TL;DR: This research adapted and implemented an algorithm for commanding using speech recognition in ARABIC language in addition to English, and the ability to train the system using other languages, and illustrates the effect of using two different intelligent approaches using MATLAB.
37
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Real-Time Elderly Healthcare Monitoring Expert System Using Wireless Sensor Network.
Ibrahim Almarashdeh,Mutasem K. Alsmadi,Tamer Farag,Abdullah S. Albahussain,Usama A. Badawi,Njoud Altuwaijri,Hala Almaimoni,Fatima Asiry,Shahad Alowaid,Muneerah Alshabanah,Daniah Alrajhi,Amirah Al Fraihet,Ghaith M. Jaradat +12 more
TL;DR: This paper presents an expert system for an Elderly Health Care at elderly home tailored for the specific needs of Elderly, and provides personalized intervention plans covering chronic diseases such as body temperature, blood pressure, and Heart beat rate.
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Emergent situations for smart cities: A survey
Ahmad Mohamad Al-Smadi,Mutasem K. Alsmadi,Abdel Karim Baareh,Ibrahim Almarashdeh,Hayam Abouelmagd,Osman Saad Shidwan Ahmed +5 more
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References
New Methods in Iris Recognition
John Daugman
- 01 Oct 2007
TL;DR: This paper presents more disciplined methods for detecting and faithfully modeling the iris inner and outer boundaries with active contours, leading to more flexible embedded coordinate systems and Fourier-based methods for solving problems in iris trigonometry and projective geometry.
Statistical Richness of Visual Phase Information: Update on Recognizing Persons by Iris Patterns
TL;DR: The current algorithms for recognizing persons by their iris patterns are reviewed and the results of 2.3 million comparisons among eye images acquired in trials in Britain, the USA, and Japan are presented, and aspects of the process still in need of improvement are discussed.
506
Robust eyelid, eyelash and shadow localization for iris recognition
Zhaofeng He,Tieniu Tan,Zhenan Sun,Xianchao Qiu +3 more
- 12 Dec 2008
TL;DR: A novel coarse-line to fine-parabola eyelid fitting scheme is developed for accurate and fast eyelid localization and a smart prediction model is established to determine an appropriate threshold for eyelash and shadow detection.
•Journal Article
Fast and Efficient Iris Image Segmentation
TL;DR: It is demonstrated that the proposed iris segmentation algorithm outperforms some well-known methods in both accuracy and processing speed, and is capable of offering recognition performances comparable with those reported by other state-of-the-art methods.
29
A Critical Survey of Iris Based Recognition Systems
Asima Akber Abbasi,Sajid Ali Khan +1 more
- 01 Jan 2013
TL;DR: In this paper, the authors evaluate different iris recognition techniques for both cooperative and non-cooperative databases and identify the strengths and weaknesses of different techniques, which could be helpful for future research in this area.