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

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

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

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

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

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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Educational Resources on Eyelashes

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IEEE.tv Videos

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IEEE-USA E-Books

  • Iris recognition algorithms based on texture analysis

    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 center frequency are applied to three different zones to extract the texture of the iris. Different weightings are given to each zone depending on its contribution to the recognition. The encoded binary templates are compact in size and can avoid the visibility of the individual iris images. The templates are suitable for implementing iris recognition devices using DSP (Digital Signal Processor). The proposed method was evaluated using CASIA iris image database version 1.0 [1]. Experimental results show that the proposed approach has achieved high accuracy of 98.62%.

  • Study the iris segmentation method for biometric pattern recognition

    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 technology that uses pattern recognition techniques based on iris characteristics. In this paper we propose a new biometric-based Iris segmentation system. The system acquires the biometric data in the data base CASIA version 1.0. The experimental results are compared to release the performances of our algorithms.

  • Iris recognition using histogram analysis

    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 preprocessed one-dimensional histograms. The methodology in forming these histograms, how they are used in enrollment and identification and performance in terms of false positives and false negatives are presented.

  • A half-eye wavelet based method for iris recognition

    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 identification. It is observed that relying in a smaller but more reliable part of the iris, though reducing the net amount of information, improves the overall performance. Experimental results on CASIA database show that the method has a promising performance with an accuracy of more than 99%.

  • Noise removal and impainting model for iris image

    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 for removing noises and impainting iris images. The whole procedure includes three steps: 1) localization and normalization, 2) noise removal based on phase congruency and 3) iris image impainting. A series of experiments show that the proposed method has encouraging performance for improving the recognition accuracy.

  • Development of Head-Mounted Eye Tracking System Achieving Environmental Recognition Ability

    This paper presents development of a new head-mounted eye tracking system for human adaptive mechatronics (HAM) system. Estimation of human skill level is important to assist human suitability. Eye movement indicates human insight such as changing attention and intention, hence this paper focuses on design of a headgear to reduce operator's blind side and to extend scene camera image which superimposes point of gaze. By using a robust pupil locator based entirely on integer calculations for easy real-time implementation in FPGA hardware, an algorithm estimating pupil's center against ill-conditional images contaminated by eyelid and eyelash is proposed.

  • The Discussion of the Location of Iris Recognition System

    With the development of biometric recognition technology, because of its unique characteristics, iris recognition have attracted more and more attention of researchers, which makes iris recognition system developed rapidly. In the whole process of iris recognition, the location of iris is considered as a crucial aspect. Since the location is the first step of iris image process, the accuracy and quality of location will directly affect the ultimate results of iris recognition. This paper will summarize the ideas of the existed iris location algorithms, and introduce some common methods as well as compare with their advantages and disadvantages.

  • Research on Pupil Center Localization in Eye Gaze Tracking System

    The human-computer interaction technology which based on the gaze tracking system is convenient and fast. It can achieve the purpose of sight and computer interaction. Based on the relatively static head tracking system, we make improvements for OTSU algorithm to separate the binarized pupil image and the background image completely. I wrote a function to delete a small area that gets a complete and clear binarized pupil image for the existence of small area noise clump. Finally, using the contour extraction method and the three - point circle method to complete the task of Pupil location.

  • Real-time iris localization method

    Aimed at the localization of the iris location algorithm, a new iris location algorithm is presented. First, the number of iris image gray scales that are less than a threshold value is counted at y-axis or x-axis. The pupil center, the length and short half axis are located with the most continuum connect section at quarter of the most value apiece. The facla and eyewinker infection could be located by this method. Using the pupil center locating parameters, the outer edge of the iris image is located with Max Grads Circle at 5 pels between the iris center and the pupil centers and θ∈(-45°, 45°) ∪ (135°, 225°). The eyelid and eyewinker disturbance could be avoided by this method. The result shows that this method can improves the speed of locating the iris edges and improves the real-time running speed.

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

    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 on the natural-open eyes. Firstly, makes preprocess to iris image, ensures the effective iris area adaptively. Secondly, finds all iris feature points by directional information, length information, width information of texture, the neighboring gray information and relativity in the effective iris area. Thirdly, makes codes to feature points and figures the iris pattern by iris codes. Finally, sorts the different iris patterns by auto accommodated pattern matching method and gives the recognition results. Many experiments show the recognition rates of this method can reach 99.687% that can meet the demand of iris recognition.



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