Conferences related to Eyelashes

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2016 IEEE International Conference on Image Processing (ICIP)

Signal processing, image processing, biomedical imaging, multimedia, video, multidemensional.


2013 12th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

Cognitive Informatics (CI) is a cutting-edge and multidisciplinary research field that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, intelligence science, neuropsychology, brain science, systems science, software engineering, knowledge engineering, cognitive robots, scientific philosophy, cognitive linguistics, life sciences, and cognitive computing.

  • 2012 11th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 11th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 12) focuses on the theme of e-Brain and Cognitive Computers.

  • 2011 10th IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)

    Cognitive Informatics and Cognitive Computing are a transdisciplinary enquiry on the internal information processing mechanisms and processes of the brain and their engineering applications in cognitive computers, computational intelligence, cognitive robots, cognitive systems, and in the AI, IT, and software industries. The 10th IEEE Int l Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC 11) focuses on the theme of Cognitive Computers and the e-Brain.

  • 2010 9th IEEE International Conference on Cognitive Informatics (ICCI)

    Cognitive Informatics (CI) is a cutting-edge and transdisciplinary research area that tackles the fundamental problems shared by modern informatics, computing, AI, cybernetics, computational intelligence, cognitive science, neuropsychology, medical science, systems science, software engineering, telecommunications, knowledge engineering, philosophy, linguistics, economics, management science, and life sciences.

  • 2009 8th IEEE International Conference on Cognitive Informatics (ICCI)

    The 8th IEEE International Conference on Cognitive Informatics (ICCI 09) focuses on the theme of Cognitive Computing and Semantic Mining. The objectives of ICCI'09 are to draw attention of researchers, practitioners, and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.

  • 2008 7th IEEE International Conference on Cognitive Informatics (ICCI)

    The 7th IEEE International Conference on Cognitive Informatics (ICCI 08) focuses on the theme of Cognitive Computers and Computational Intelligence. The objectives of ICCI 08 are to draw attention of researchers, practitioners and graduate students to the investigation of cognitive mechanisms and processes of human information processing, and to stimulate the international effort on cognitive informatics research and engineering applications.

  • 2007 6th IEEE International Conference on Cognitive Informatics (ICCI)

  • 2006 5th IEEE International Conference on Cognitive Informatics (ICCI)


2012 15th International Multitopic Conference (INMIC)

Conference scope revolves around activities such as Tutorials, Invited Talks, Research Papers, Workshops and Posters which will be held in academic disciplines that including Computer Science, Software Engineering, Information System, Information Technology, Electronics and Computer Engineering.

  • 2011 IEEE 14th International Multitopic Conference (INMIC)

    Artificial Itelligence, Control Systems and Mechatronics, Computer Networks and Security, Virtualization and Cloud Computing, Databases and Warehousing Multimedia, Computer Graphics and Image Processing, Bio-informatics Power Systems and Alternate Energy Resources, Software Engineering Wireless, Mobile and Sensor Networks, E-Government & E-Commerce, E-Learning, Semantic Web Technologies, Pervasive Ubiquitous Computing.

  • 2009 IEEE 13th International Multitopic Conference (INMIC)

    IEEE INMIC is held every year and INMIC 2009 will be the 13th in the series. INMIC has become Pakistan s flagship technical conference with a broad scope, thereby inviting interest of a large audience. The conference targets research presentations by academic and professional researchers, and also includes a series of tutorials, enabling participants to learn about the latest trends in technology. Research contributions are expected from the participants, covering various disciplines under IEEE s domain, in


2012 26th Biennial Symposium on Communications (QBSC)

Original papers are encouraged in all areas related to communications systems and networks.


2012 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2012)

The Applied Imagery Pattern Recognition Workshop promotes and encourages the interdisciplinary interchange of ideas. The purpose of the annual AIPR workshops is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines.

  • 2011 IEEE Applied Imagery Pattern Recognition Workshop: Imaging for Decision Making (AIPR 2011)

    The purpose of the Applied Imagery Pattern Recognition (AIPR) annual workshops is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines. The papers span a range from research to fielded systems and provide, to managers and developers alike, a broad vision of the applicability of image analysis technologies.

  • 2010 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2010)

    The Applied Imagery Pattern Recognition Workshop promotes and encourages the interdisciplinary interchange of ideas. The purpose of the annual AIPR workshops is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines.

  • 2009 IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2009)

    The purpose of the Applied Imagery Pattern Recognition (AIPR) annual workshops is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines. The papers span a range from research to fielded systems and provide, to managers and developers alike, a broad vision of the applicability of image analysis technologies.

  • 2008 37th IEEE Applied Imagery Pattern Recognition Workshop (AIPR 2008)

    The purpose of AIPR is to bring together researchers from government, industry, and academia in an elegant setting conducive to technical interchange across a broad range of disciplines. The papers span a range from research to fielded systems and provide a broad vision of the applicability of image analysis technologies.


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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.


Pattern Analysis and Machine Intelligence, IEEE Transactions on

Statistical and structural pattern recognition; image analysis; computational models of vision; computer vision systems; enhancement, restoration, segmentation, feature extraction, shape and texture analysis; applications of pattern analysis in medicine, industry, government, and the arts and sciences; artificial intelligence, knowledge representation, logical and probabilistic inference, learning, speech recognition, character and text recognition, syntactic and semantic processing, understanding natural language, expert systems, ...




Xplore Articles related to Eyelashes

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Entropy based occlusion removal with DTCWT and DCT as feature extractor for iris recognition

L. Likitha; Diksha Gupta; K. Manikantan 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2015

The iris pattern of human eye is considered to be unique and distinct that it plays an important role as reliable biometric system for authentication purposes. Iris recognition has become a challenging issue under varying lighting or contrast conditions and due to occlusions such as eyelashes. Therefore, in this paper we have proposed a novel technique for eliminating the eyelashes, ...


A pixel-wise, learning-based approach for occlusion estimation of iris images in polar domain

Yung-hui Li; Marios Savvides 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009

On normalized iris images, there are many kinds of noises, such as eyelids, eyelashes, shadows or specular reflections, that often occlude the true iris texture. If high recognition rate is desired, those occluded areas must be estimated accurately in order for them to be excluded during the matching stage. In this paper, we propose a unified, probabilistic and learning-based approach ...


The Algorithm of Iris Image Quality Evaluation

Lili Pan; Mei Xie 2007 International Conference on Communications, Circuits and Systems, 2007

In this paper, we judge whether an iris image has quality problem from two aspects. On one hand, we analyze the higher spatial frequency sub-band image of the original iris normalization image and determine whether this image has eyelid and lash occlusion problem according to the number of high value pixels. On the other hand, we determine whether an iris ...


Conflict Detection and Bayesian Conditioning for Estimating the Reliability of Each LVQ Network in a Group Engaged at Iris Biometric Identification

Germano Vallesi; Anna Montesanto; Aldo Franco Dragoni 2008 Eighth International Conference on Hybrid Intelligent Systems, 2008

The main problem with iris biometric identification systems is the presence of noises in the image of the eye (eyelid, eyelashes, etc...). To remove it many authors apply appropriate preprocessing to the image, but unfortunately this yields losses of information. Our work aims at correctly recognizing the subject also in presence of high rates of noise. The basic idea is ...


A novel iris recognition method based on the natural-open eyes

Zhonghua Lin IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010

The non-intrusive property of iris recognition leads to several problems to the images of natural-open eyes and it is hard to increase the accuracy of iris recognition because of these problems. In order to ensure the non- intrusive property as well as achieve an iris recognition which has high accuracy simultaneously, this paper presents a novel iris recognition method based ...


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Educational Resources on Eyelashes

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eLearning

Entropy based occlusion removal with DTCWT and DCT as feature extractor for iris recognition

L. Likitha; Diksha Gupta; K. Manikantan 2015 IEEE International Conference on Computational Intelligence and Computing Research (ICCIC), 2015

The iris pattern of human eye is considered to be unique and distinct that it plays an important role as reliable biometric system for authentication purposes. Iris recognition has become a challenging issue under varying lighting or contrast conditions and due to occlusions such as eyelashes. Therefore, in this paper we have proposed a novel technique for eliminating the eyelashes, ...


A pixel-wise, learning-based approach for occlusion estimation of iris images in polar domain

Yung-hui Li; Marios Savvides 2009 IEEE International Conference on Acoustics, Speech and Signal Processing, 2009

On normalized iris images, there are many kinds of noises, such as eyelids, eyelashes, shadows or specular reflections, that often occlude the true iris texture. If high recognition rate is desired, those occluded areas must be estimated accurately in order for them to be excluded during the matching stage. In this paper, we propose a unified, probabilistic and learning-based approach ...


The Algorithm of Iris Image Quality Evaluation

Lili Pan; Mei Xie 2007 International Conference on Communications, Circuits and Systems, 2007

In this paper, we judge whether an iris image has quality problem from two aspects. On one hand, we analyze the higher spatial frequency sub-band image of the original iris normalization image and determine whether this image has eyelid and lash occlusion problem according to the number of high value pixels. On the other hand, we determine whether an iris ...


Conflict Detection and Bayesian Conditioning for Estimating the Reliability of Each LVQ Network in a Group Engaged at Iris Biometric Identification

Germano Vallesi; Anna Montesanto; Aldo Franco Dragoni 2008 Eighth International Conference on Hybrid Intelligent Systems, 2008

The main problem with iris biometric identification systems is the presence of noises in the image of the eye (eyelid, eyelashes, etc...). To remove it many authors apply appropriate preprocessing to the image, but unfortunately this yields losses of information. Our work aims at correctly recognizing the subject also in presence of high rates of noise. The basic idea is ...


A novel iris recognition method based on the natural-open eyes

Zhonghua Lin IEEE 10th INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING PROCEEDINGS, 2010

The non-intrusive property of iris recognition leads to several problems to the images of natural-open eyes and it is hard to increase the accuracy of iris recognition because of these problems. In order to ensure the non- intrusive property as well as achieve an iris recognition which has high accuracy simultaneously, this paper presents a novel iris recognition method based ...


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