Conferences related to Eyelashes

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2020 IEEE International Instrumentation and Measurement Technology Conference (I2MTC)

The Conference focuses on all aspects of instrumentation and measurement science andtechnology research development and applications. The list of program topics includes but isnot limited to: Measurement Science & Education, Measurement Systems, Measurement DataAcquisition, Measurements of Physical Quantities, and Measurement Applications.


2019 41st Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC)

The conference program will consist of plenary lectures, symposia, workshops andinvitedsessions of the latest significant findings and developments in all the major fields ofbiomedical engineering.Submitted papers will be peer reviewed. Accepted high quality paperswill be presented in oral and postersessions, will appear in the Conference Proceedings and willbe indexed in PubMed/MEDLINE & IEEE Xplore


2019 IEEE International Conference on Image Processing (ICIP)

The International Conference on Image Processing (ICIP), sponsored by the IEEE SignalProcessing Society, is the premier forum for the presentation of technological advances andresearch results in the fields of theoretical, experimental, and applied image and videoprocessing. ICIP 2019, the 26th in the series that has been held annually since 1994, bringstogether leading engineers and scientists in image and video processing from around the world.


2019 IEEE International Conference on Industrial Technology (ICIT)

The scope of the conference will cover, but will not be limited to, the following topics: Robotics; Mechatronics; Industrial Automation; Autonomous Systems; Sensing and artificial perception, Actuators and Micro-nanotechnology; Signal/Image Processing and Computational Intelligence; Control Systems; Electronic System on Chip and Embedded Control; Electric Transportation; Power Electronics; Electric Machines and Drives; Renewable Energy and Smart Grid; Data and Software Engineering, Communication; Networking and Industrial Informatics.


2019 IEEE International Conference on Systems, Man and Cybernetics (SMC)

2019 IEEE International Conference on Systems, Man, and Cybernetics (SMC2019) will be held in the south of Europe in Bari, one of the most beautiful and historical cities in Italy. The Bari region’s nickname is “Little California” for its nice weather and Bari's cuisine is one of Italian most traditional , based of local seafood and olive oil. SMC2019 is the flagship conference of the IEEE Systems, Man, and Cybernetics Society. It provides an international forum for researchers and practitioners to report up-to-the-minute innovations and developments, summarize state­of-the-art, and exchange ideas and advances in all aspects of systems science and engineering, human machine systems and cybernetics. Advances have importance in the creation of intelligent environments involving technologies interacting with humans to provide an enriching experience, and thereby improve quality of life.


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Periodicals related to Eyelashes

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Biomedical Engineering, IEEE Transactions on

Broad coverage of concepts and methods of the physical and engineering sciences applied in biology and medicine, ranging from formalized mathematical theory through experimental science and technological development to practical clinical applications.


Computer Graphics and Applications, IEEE

IEEE Computer Graphics and Applications (CG&A) bridges the theory and practice of computer graphics. From specific algorithms to full system implementations, CG&A offers a strong combination of peer-reviewed feature articles and refereed departments, including news and product announcements. Special Applications sidebars relate research stories to commercial development. Cover stories focus on creative applications of the technology by an artist or ...


Image Processing, IEEE Transactions on

Signal-processing aspects of image processing, imaging systems, and image scanning, display, and printing. Includes theory, algorithms, and architectures for image coding, filtering, enhancement, restoration, segmentation, and motion estimation; image formation in tomography, radar, sonar, geophysics, astronomy, microscopy, and crystallography; image scanning, digital half-toning and display, andcolor reproduction.


Industrial Informatics, IEEE Transactions on

IEEE Transactions on Industrial Informatics focuses on knowledge-based factory automation as a means to enhance industrial fabrication and manufacturing processes. This embraces a collection of techniques that use information analysis, manipulation, and distribution to achieve higher efficiency, effectiveness, reliability, and/or security within the industrial environment. The scope of the Transaction includes reporting, defining, providing a forum for discourse, and informing ...


Information Forensics and Security, IEEE Transactions on

Research on the fundamental contributions and the mathematics behind information forensics, information seurity, surveillance, and systems applications that incorporate these features.


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Xplore Articles related to Eyelashes

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Iris recognition algorithms based on texture analysis

[{u'author_order': 1, u'affiliation': u'Computer Vision and Intelligent Systems (CVIS) Group, Universiti Tunku Abdul, Rahman, Malaysia', u'authorUrl': u'https://ieeexplore.ieee.org/author/37571417700', u'full_name': u'Richard Yew Fatt Ng', u'id': 37571417700}, {u'author_order': 2, u'affiliation': u'Computer Vision and Intelligent Systems (CVIS) Group, Universiti Tunku Abdul, Rahman, Malaysia', u'authorUrl': u'https://ieeexplore.ieee.org/author/37567858800', u'full_name': u'Yong Haur Tay', u'id': 37567858800}, {u'author_order': 3, u'affiliation': u'Computer Vision and Intelligent Systems (CVIS) Group, Universiti Tunku Abdul, Rahman, Malaysia', u'authorUrl': u'https://ieeexplore.ieee.org/author/37568117300', u'full_name': u'Kai Ming Mok', u'id': 37568117300}] 2008 International Symposium on Information Technology, 2008

Iris recognition has become a popular research in recent years due to its reliability and nearly perfect recognition rates. Iris recognition system has three main stages: image preprocessing, feature extraction and template matching. An innovative method is proposed to extract iris features based on texture analysis. Iris textures are analyzed to capture the discriminating frequency information. Specific filters with different ...


Study the iris segmentation method for biometric pattern recognition

[{u'author_order': 1, u'affiliation': u'National school of Engineers of Sfax, Research Unit CES, SFAX, Tunisie', u'authorUrl': u'https://ieeexplore.ieee.org/author/38233230300', u'full_name': u'Hentati Raida', u'id': 38233230300}, {u'author_order': 2, u'affiliation': u'National school of Engineers of Sfax, Research Unit CES, SFAX, Tunisie', u'authorUrl': u'https://ieeexplore.ieee.org/author/38233229200', u'full_name': u'Moncef Boussellmi', u'id': 38233229200}, {u'author_order': 3, u'affiliation': u'National school of Engineers of Sfax, Research Unit CES, SFAX, Tunisie', u'authorUrl': u'https://ieeexplore.ieee.org/author/37299902600', u'full_name': u'Mohamed Abid', u'id': 37299902600}] 2011 3rd International Conference on Next Generation Networks and Services (NGNS), 2011

Several system require authenticating a person's identity before giving access to resources. With new advances in technology, biometrics is one of the most promising techniques in recognition human. Biometrics intends to identify a person by his physical and/or behavioural characteristic. Among biometric technologies, iris recognition has received increasing attention due to its high reliability. Iris recognition is a biometric authentication ...


Iris recognition using histogram analysis

[{u'author_order': 1, u'affiliation': u'Dept. of Electr. Eng., US Naval Acad., Annapolis, MD, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37273577700', u'full_name': u'R.W. Ives', u'id': 37273577700}, {u'author_order': 2, u'affiliation': u'Dept. of Electr. Eng., US Naval Acad., Annapolis, MD, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37939069800', u'full_name': u'A.J. Guidry', u'id': 37939069800}, {u'author_order': 3, u'affiliation': u'Dept. of Electr. Eng., US Naval Acad., Annapolis, MD, USA', u'authorUrl': u'https://ieeexplore.ieee.org/author/37282036300', u'full_name': u'D.M. Etter', u'id': 37282036300}] Conference Record of the Thirty-Eighth Asilomar Conference on Signals, Systems and Computers, 2004., 2004

Iris recognition is perhaps the most accurate means of personnel identification due to the uniqueness of the patterns contained in each iris. Most commercial iris recognition systems use a patented algorithm based on two-dimensional Gabor wavelets developed by Daugman. This paper describes an alternate means to identify individuals using images of their iris. Here, we simplify the process by using ...


A half-eye wavelet based method for iris recognition

[{u'author_order': 1, u'affiliation': u'Control & Intelligent Process. Center of Excellence, Tehran Univ., Iran', u'authorUrl': u'https://ieeexplore.ieee.org/author/37062239400', u'full_name': u'A. Poursaberi', u'id': 37062239400}, {u'author_order': 2, u'affiliation': u'Control & Intelligent Process. Center of Excellence, Tehran Univ., Iran', u'authorUrl': u'https://ieeexplore.ieee.org/author/37265972700', u'full_name': u'B.N. Araabi', u'id': 37265972700}] 5th International Conference on Intelligent Systems Design and Applications (ISDA'05), 2005

Iris detection is a crucial part of an iris recognition system. One of the main issues in iris segmentation is coping with occlusions that happen due to eyelids and eyelashes. In this paper, only the lower part of the iris is utilized for recognition. Wavelet based texture features along with a mixed Hamming; harmonic mean distance classifier is used for ...


Noise removal and impainting model for iris image

[{u'author_order': 1, u'affiliation': u'Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37281267100', u'full_name': u'Junzhou Huang', u'id': 37281267100}, {u'author_order': 2, u'affiliation': u'Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37337380100', u'full_name': u'Yunhong Wang', u'id': 37337380100}, {u'author_order': 3, u'affiliation': u'Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37275180800', u'full_name': u'Jiali Cui', u'id': 37275180800}, {u'author_order': 4, u'affiliation': u'Nat. Lab. of Pattern Recognition, Chinese Acad. of Sci., Beijing, China', u'authorUrl': u'https://ieeexplore.ieee.org/author/37274122900', u'full_name': u'Tieniu Tan', u'id': 37274122900}] 2004 International Conference on Image Processing, 2004. ICIP '04., 2004

Noise removal is an important problem for iris recognition. If the iris regions were not correctly segmented in iris images, segmented iris regions possibly include noises, namely eyelashes, eyelids, reflections and pupil. Noises influence the features of both noise regions and their neighboring regions, which will result in poor recognition performance. To solve this problem, this paper proposes a method ...


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