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Dissertations / Theses on the topic 'Iris recognition system'

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Published: 4 June 2025

Last updated: 1 August 2025

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1

Hasegawa, Robert Shigehisa. "Using synthetic images to improve iris biometric performance." Scholarly Commons, 2012. https://scholarlycommons.pacific.edu/uop_etds/827.

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Nassar, Alaa S. N. "A Hybrid Multibiometric System for Personal Identification Based on Face and Iris Traits. The Development of an automated computer system for the identification of humans by integrating facial and iris features using Localization, Feature Extraction, Handcrafted and Deep learning Techniques." Thesis, University of Bradford, 2018. http://hdl.handle.net/10454/16917.

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Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability to spoofing. This PhD thesis is focused on the combination of both the face and the left and right irises, in a unified hybrid multimodal biometric identification system using different fusion approaches at the score and rank level. Firstly, the facial features are extracted using a novel multimodal

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Mohammadi, Arvacheh Ehsan. "A Study of Segmentation and Normalization for Iris Recognition Systems." Thesis, University of Waterloo, 2006. http://hdl.handle.net/10012/2846.

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Iris recognition systems capture an image from an individual's eye. The iris in the image is then segmented and normalized for feature extraction process. The performance of iris recognition systems highly depends on segmentation and normalization. For instance, even an effective feature extraction method would not be able to obtain useful information from an iris image that is not segmented or normalized properly. This thesis is to enhance the performance of segmentation and normalization processes in iris recognition systems to increase the overall accuracy. <br /><br /> The prev

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Fouad, Marwa. "Towards Template Security for Iris-based Biometric Systems." Thèse, Université d'Ottawa / University of Ottawa, 2012. http://hdl.handle.net/10393/22736.

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Personal identity refers to a set of attributes (e.g., name, social insurance number, etc.) that are associated with a person. Identity management is the process of creating, maintaining and destroying identities of individuals in a population. Biometric technologies are technologies developed to use statistical analysis of an individual’s biological or behavioral traits to determine his identity. Biometrics based authentication systems offer a reliable solution for identity management, because of their uniqueness, relative stability over time and security (among other reasons). Public accepta

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Langgartner, Florian S. [Verfasser], and Elmar [Akademischer Betreuer] Lang. "Machine Learning Techniques and Optical Systems for Iris Recognition from Distant Viewpoints / Florian S. Langgartner ; Betreuer: Elmar Lang." Regensburg : Universitätsbibliothek Regensburg, 2020. http://d-nb.info/1214886892/34.

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JAIN, AKSHAT. "IRIS RECOGNITION SYSTEM." Thesis, 2014. http://dspace.dtu.ac.in:8080/jspui/handle/repository/15609.

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Iris Recognition is one of the most important biometric recognition systems to authenticate people. Iris recognition works by matching the iris patterns of two individuals. In this paper an efficient iris recognition system is proposed. The process used herein concentrates on image segmentation, normalization, feature extraction and encoding, and verification. Segmentation is done with the help of a great mix of Integro-Differential operator and Hough transformation. This approach provides you with better noise reduction and better iris deduction. Normalization of iris region is performe

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Li, Yue-Sheng, and 李岳陞. "An iris recognition system." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/22632660094355856320.

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碩士<br>淡江大學<br>資訊工程學系碩士班<br>100<br>Iris recognition system uses iris for distinguishing the identity of person using rich iris texture feature. To effectively remove noise and precisely segment stable iris region is a crucial stage prior to recognition. Most noises on iris images are caused by occlusion of eyelids or eyelashes in some certain areas. In this paper, we proposed an iris recognition system, which precisely locates and segments iris regions. We extract iris feature from a relatively reliable portion of the iris region using the DoG filter. Experimental results show that the proposed

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Wu, Ting-Rong, and 吳庭榕. "A Multi-View Iris Recognition System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/91218619191404791690.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>93<br>Recently, techniques for personal identification with biometrics have drawn more and more attention from both the academic community and the industry. In view of the recognition accuracy and the user friendliness, iris recognition techniques have stood out among the biometric personal identification techniques. In this thesis, we will discuss in depth the personal identification technique with iris images taken at different angles of views. In general, an iris identification system includes four modules for iris image acquisition, iris localization, iris featu

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Hung, Cheng-kai, and 洪晟凱. "A Design of Iris Recognition System." Thesis, 2016. http://ndltd.ncl.edu.tw/handle/28348701416153908184.

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碩士<br>國立中山大學<br>電機工程學系研究所<br>104<br>Conventional identification tools, such as keys, magnetic cards and secret codes, can be easily duplicated and cracked. Missing keys, losing cards and forgetting passwords are quite usual that result in inconvenience and insecurity in our daily life and work. In the recent years, biometrics technology is applied in the authentication industry due to its unique, stable and non-counterfeitable features. Face, iris, retina, palm print, fingerprint and voiceprint are the common biometric features. However, first of all, according to the statistical analysis

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CHIANG, YI-CHANG, and 蔣宜璋. "Implementation of An Iris Recognition System." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/00103121457133322622.

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碩士<br>國立暨南國際大學<br>通訊工程研究所<br>98<br>In general daily life, the methods that we use for identity are the traditional and simple way for the majority. With breakthrough technology and progress, people demand more of the information security. The traditional methods of identification became insufficient and inconvenient so the present biometric identity recognition technology is paid more attention. In a variety of biometric technology, the iris image has more unique features which are more stable for the effect in the recognition system. Therefore, the iris recognition system will be discussed

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Huang, Jen-Ning, and 黃振寧. "Design of Iris Recognition System with High Recognition Rate." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/92582046913143491932.

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碩士<br>淡江大學<br>電機工程學系碩士班<br>96<br>In this thesis, the design of an iris recognition system is presented. Specifically, the proposed method consists of four major steps, which includes pupil center positioning, iris data acquisition, feature extraction and encoding, and code matching. First, a frame containing the pupil is singled out by image processing technique. Then the coordinates of all the points on the edge of the pupil are computed using Canny edge detector. Accordingly, the position of the pupil center is determined. Next an annular region of the iris image is taken with reference to t

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Chen, Shun-Tung, and 陳順東. "An IRIS recognition System and Its Implementation." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/93727196477187885216.

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碩士<br>國立中央大學<br>資訊工程學系碩士在職專班<br>93<br>Today, biometrics has been applied to personal recognition popularly, & more important. For instance, the PIN (Personal Identification Number), which was used to ATM (Automated teller machine), caused the loss of bank almost 30 thousands of millions due to false acceptance [21]. In 1991, Sep 11, terrorists attacked New York & caused inestimable loss of lives & cost; for avoid this matter, United States do their best to have the most correct identification in every where & the unique of biometric is just what we want. Iris recognition, one kind of biometric

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Lin, Chih-Chun, and 林秩群. "A Non-orthogonal View Iris Recognition System." Thesis, 2006. http://ndltd.ncl.edu.tw/handle/79815573729726961949.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>94<br>In recent years, techniques for personal identification with biometrics have drawn more and more attention from people in the world. Because of the user friendliness and the high recognition accuracy, iris recognition techniques have stood out among the biometric personal identification techniques and are widely adopted in many applications. However, the traditional iris recognition systems are developed under the assumption that the user has to be cooperative in order for the system to acquire an orthogonal view iris image. This restriction has reduced the

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Chih, Kun-Huei, and 池坤徽. "Iris Recognition System Based on Wavelet Transform." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/44809551115700865247.

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碩士<br>國立暨南國際大學<br>電機工程學系<br>92<br>With an increasing emphasis on security, personal authentication based on biometrics has been receiving extensive attention over the past decade. Among many different biometric technologies, this thesis examines iris recognition technique for personal identification and develops a good performance recognition system based on human iris features. It is implemented and tested on the CASIA iris image database. The proposed system includes three modules: image preprocessing, feature extraction, and recognition modules. Image preprocessing module uses some image pr

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Liu, Xiu-Wen, and 劉秀雯. "An Embedded System for Dove Iris Recognition." Thesis, 2010. http://ndltd.ncl.edu.tw/handle/88932152665991707290.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>98<br>In the past years, people mainly rely on a foot-ring to identify a homing dove. However, the foot-ring may be damaged due to either accidental collision or human snaring so that the number on the foot-ring is not identifiable. Recently, the Radio Frequency Identification (RFID) technique has been introduced into the dove foot-ring. Although the RFID technique does increase the difficulty of forging a fake foot-ring, it is still possible to replace the foot-ring with a fake one. This thesis aims to develop an iris recognition system for doves to prevent cheat

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Yuan, Shang-Yuan, and 袁上元. "Automatic Iris Recognition System based on Fractal Dimension." Thesis, 2000. http://ndltd.ncl.edu.tw/handle/14758345036153131568.

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碩士<br>逢甲大學<br>電機工程學系<br>88<br>Biometrics and biometric recognition system become very important and valuable in the applications such as identification and security. Fingerprint identification has been the most widespread of application of biometric technology. Recently, iris identification is emerging as the most foolproof method of automated personal identification in demand by an ever more automated world. There are only two such iris recognition systems developed. In this thesis, a prototype system, called Automatic Iris Recognition System (AIRS), which is based on fractal dimension as fea

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Yang, Sheng-Ciang, and 楊勝強. "The Development and Design of Iris Recognition System." Thesis, 2008. http://ndltd.ncl.edu.tw/handle/13027611802481618660.

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碩士<br>國立屏東科技大學<br>機械工程系所<br>96<br>With the coming of recent the technology are advancement. Using the biometrics identification system for the identity confirms are more and more catholic. Biometrics identification system has become more and more important for us. The purpose of our research is establishment a system of Iris Recognition System, and we divided it into two sections. One is the hardware equipment, and the other is software. Besides that, we designed a system of image capture model and lighting module to the hardware equipment. On the other hand, we developed image calibration, i

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Lin, Ming-Yi, and 林明毅. "A Secure Authentication System based on Iris Recognition." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/01424809565570254830.

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碩士<br>國立中正大學<br>電機工程研究所<br>102<br>The development of internet application is remarkably rapid recently. However, personal privacy cannot be guaranteed to transfer safely at most time. In other words, user cannot ensure weather the connection is reliable or not. Due to this privacy issue, the personal information must be transmitted under an authentication mechanism. Through this mechanism we can prevent malicious access efficiently. In this paper, we propose a secure authentication system based on Iris recognition technology. Through Iris-recognition’s features, we can implement a convenient

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Lin, Zong-Xian, and 林宗賢. "Biometric Recognition System for Non-Ideal Iris Images." Thesis, 2012. http://ndltd.ncl.edu.tw/handle/85206986896052460252.

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碩士<br>國立暨南國際大學<br>電機工程學系<br>100<br>In traditional iris recognition technology, users must face up to the camera without dramatic changes in light. In this paper, we will discuss the iris recognition technology based on non-ideal iris images such as variations of angle of view, movement of eyes, different shooting distance, variations of brightness, hair and eyelashes, variation of the eye’s location, complexions, and wrinkles. In our research, we use iris image database that the UBIRIS.V2 provide for experimental test. The proposed system consists of three modules: image preprocessing, feature

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Tsai, Meng-Chieh, and 蔡孟傑. "A High Performance Non-orthogonal View Iris Recognition System." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/26887630645807998057.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>95<br>In recent years, techniques for personal identification with biometrics have drawn more and more attention from people due to the insecurity of the traditional authentication methods. Because of the convenience and high recognition accuracy, iris recognition techniques have stood out among the biometric personal identification techniques and are widely adopted in many applications. Most of the existing iris recognition systems are developed under the assumption that the iris images are acquired with the orthogonal view imaging condition (OVIC). This assumptio

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Shi, Chao-Chi, and 許晁齊. "Iris Recognition System Based on Local Binary Pattern Method." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/97670447558970931340.

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碩士<br>國立中正大學<br>電機工程研究所<br>103<br>In today's advanced information age, security plays a very important position. The popular PIN (Personal Identification Number) Identification is usually lost because of negligence, so " biometric identification system " which has higher security will be used. The people does not need to memory a long list of password. Iris recognition is one of the most accurate biometric identification methods. Iris of each person is different, and its feature is not easily changed and has high accuracy. In the thesis, firstly we capture the iris image, and then using pre-pr

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李孟諭. "An Iris Recognition System Based on Dynamic Features Extraction." Thesis, 2021. http://ndltd.ncl.edu.tw/handle/39619772882317810625.

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碩士<br>國立屏東科技大學<br>資訊管理系所<br>97<br>In recent years, Biometric Recognition Systems have been extensively adopted in personal identity identification. Especially for iris, it possesses singularity and stability which are most important for personal identity identification. For this reason, it is much more useful to make use of iris as a discriminating feature. The research takes the CASIA Iris Database provided by The Institute of Automation of the Chinese Academy of Sciences. We took 80 people of data, 108 different eyes included, and 7 images per one eye, there are 756 original human eye images

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Chen, Yu-Chi, and 陳昱齊. "Design and Implementation of Iris Recognition System Based on FPGA." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/99807632922743209815.

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碩士<br>國立中正大學<br>電機工程研究所<br>103<br>With the network popularity and frequent of electronic transactions, the PIN (Personal Identification Number) cannot ensure the safety of identification. However, we can use to unique iris feature, such as face, finger print, personal sign and iris. Because the personal feature is difficult to copy or steal, it will effectively improve information security. Iris recognition biometric technology is one of the most accurate methods. Each person has his iris and it is a part of the eyeball. Iris characteristic is not easily changed and has high accuracy. In the t

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Lee, Wei-Chung, and 李韋忠. "A Hardware Design of Iris Code Generation for Recognition System." Thesis, 2014. http://ndltd.ncl.edu.tw/handle/72756359690487594202.

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碩士<br>國立中正大學<br>電機工程研究所<br>102<br>With the network safety becomes more attention, the PIN (Personal Identification Number) recognition usually losses because the negligence or error to accept. In addition, there are several terrorist attacks in the recent years, so that the personal identification recognition becomes more important. Therefore , discarding the annoying password and establishing the uniqueness of identity, return to the “biometric identification system” which based on the human characteristics have been a new trend. The iris recognition technology is one of the biometric identif

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Hsun, Chang Shun, and 張順訓. "Design of Acquisition Mechanism and Investigation of Iris Image Quality Assessment for An Iris Recognition System." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/36417532024103988912.

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碩士<br>國立暨南國際大學<br>電機工程學系<br>93<br>Abstract In this paper, we aim to designing a novel identity verification system mainly based on some efficient image processing techniques for recognizing the iris of a human eye. The proposed system consists mainly of three modules: iris image acquisition, iris image preprocessing, iris and iris image quality assessment. For the purpose of designing an efficient and robust iris recognition system, to design a good image capturing mechanism for acquiring human iris images is very important to promote the recognition performance. We focus on the design of the

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林永淋. "Automatic iris recognition system based on divider dimension and KL transform." Thesis, 2002. http://ndltd.ncl.edu.tw/handle/24557474893348741418.

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碩士<br>國立暨南國際大學<br>電機工程學系<br>90<br>Traditionally, the methods for personal authentication are based on what a person possesses (e.g., key, ID card, etc.) or what a person knows (e.g., secret password, PIN number, etc.). However, these methods usually have the following problems. For example: keys may be falsified, ID cards may be lost, and passwords and PIN numbers may be forgotten. Accurate and reliable personal authentication (or identity authentication) is becoming more and more urgent to the operation of cybernetic society. In recent years, iris feature of a human eye is receiving growing i

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Chou, Chia-Te, and 周家德. "The Design of Filter Banks for Iris Feature Extraction of an Iris Recognition System Using Genetic Algorithm." Thesis, 2005. http://ndltd.ncl.edu.tw/handle/00308815910793321441.

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碩士<br>國立暨南國際大學<br>資訊工程學系<br>93<br>In this thesis, we propose a systematic approach to design Gabor filter banks for iris feature extraction. The spectra of normalized iris images were analyzed and the most informative band (MIB) was located. When tuning the filter parameters, the pass bands of the filter banks are confined to be within the MIB. We will show that this MIB constraint is equivalent to reducing the number of the orientation parameters of the Gabor filters. Furthermore, we will show that the spatial locations of the Gabor filters can be arbitrarily and uniformly selected provide

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Al-Waisy, Alaa S., Rami S. R. Qahwaji, Stanley S. Ipson, Shumoos Al-Fahdawi, and Tarek A. M. Nagem. "A multi-biometric iris recognition system based on a deep learning approach." 2017. http://hdl.handle.net/10454/15682.

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Yes<br>Multimodal biometric systems have been widely applied in many real-world applications due to its ability to deal with a number of significant limitations of unimodal biometric systems, including sensitivity to noise, population coverage, intra-class variability, non-universality, and vulnerability to spoofing. In this paper, an efficient and real-time multimodal biometric system is proposed based on building deep learning representations for images of both the right and left irises of a person, and fusing the results obtained using a ranking-level fusion method. The trained de

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Lu, Ben-Jen, and 陸本正. "Iris Recognition System Based on Fractional-Step Dimensionality Reduction and Support Vector Machine." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/52854317495677591070.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>95<br>With the progress of social and economical development, people are being increasingly concerned over the issue of security, resulting in the recent popularity of biometric as the research topic. Among all the biometric related techniques, the one that targets iris recognition stands out for its great stability and uniqueness. Iris recognition technique has got much attentions from public and created many related topics for academic researches. This paper aims to present a highly effective iris recognition system whose frame consists of three main parts: image p

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Wang, Shih-Chieh, and 王世杰. "An Iris Recognition System Based on Fractal Analysis Using Entropy-Box-Counting Method." Thesis, 2007. http://ndltd.ncl.edu.tw/handle/25837290551313309088.

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碩士<br>中興大學<br>資訊科學系所<br>95<br>In this thesis, we propose a new method of fractal analysis using entropy-box-counting (EBC) for automatic iris recognition. First, the annular iris image is normalized into a rectangular iris image and divided into forty-eight blocks. We calculate the fractal dimension values for these image blocks and then concatenate all these features together as the iris feature vector. The similarity of two irises can be measured by the spatial distance. We use the Minimum Distance Classifier (MDC) to determine whether two irises belong to the same class. Experimental result

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Al-Waisy, Alaa S., Rami S. R. Qahwaji, Stanley S. Ipson, and Shumoos Al-Fahdawi. "A Fast and Accurate Iris Localization Technique for Healthcare Security System." 2015. http://hdl.handle.net/10454/16599.

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yes<br>In the health care systems, a high security level is required to protect extremely sensitive patient records. The goal is to provide a secure access to the right records at the right time with high patient privacy. As the most accurate biometric system, the iris recognition can play a significant role in healthcare applications for accurate patient identification. In this paper, the corner stone towards building a fast and robust iris recognition system for healthcare applications is addressed, which is known as iris localization. Iris localization is an essential step for effi

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SniperShih and 施嘉南. "The Application of Using Mosaic and Maximum Spanning Trees in Automatic Human Iris Recognition System." Thesis, 2003. http://ndltd.ncl.edu.tw/handle/83010987584748763216.

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碩士<br>國立臺灣科技大學<br>電機工程系<br>91<br>Iris is one of the features of living things. It is the doughnut-shaped area between pupil and sclera. Iris itself is very delicate and weak, but it is still protected by eyelids, cornea and anterior chamber. Thus iris or eyes is one of organs which are well protected. As pointed in literatures, as if iris is not affected by ageing, all do its features remain unchanged from one-year-old till death. Except possessing the above stabilities, there is another characteristic, uniqueness. From medical reports, although identical twins are indistinguishable

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Shu-Yao, Chang, and 張書銚. "A Human Iris Recognition System Based on Direct Linear Discriminant Analysis and the Nearest Feature Classifiers." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/10993447523537954203.

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碩士<br>國立臺灣科技大學<br>資訊工程系<br>92<br>Biometric recognition systems perform personal identification with physiological characteristics. These physiological characteristics usually include the following: faces, irises, retinas, hand textures, and fingerprints. Irises are not easy to be copied and do not change forever. Moreover, everyone has different irises. According to such cues, irises have high quality of uniqueness and stability, and they are great for biometric recognition. In this thesis, we present a human iris recognition system with a high recognition rate. The iris recognition

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Lin, Kuo-Chun, and 林國鈞. "A High-security-level Iris Recognition System based on Soft Template Reliability Extraction and Error Protection." Thesis, 2019. http://ndltd.ncl.edu.tw/handle/8tuq7p.

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碩士<br>國立中山大學<br>通訊工程研究所<br>107<br>This study proposes a biometric system for personal identification based on the biometric characteristics from the iris image. A protection scheme with a high security level is applied to the biometric template data to guarantee its revocability, security and diversity. Error-correcting codes (ECC), cryptographic hash functions (CHF), and the proposed Template Reliability Mapping and Dominating Feature Points technologies are the core of the devised template protection scheme. The topics addressed in this thesis include: (i) Extraction of Soft Reliability Valu

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Grancho, Emanuel da Silva. "Ocular recognition in uncontrolled environments." Master's thesis, 2014. http://hdl.handle.net/10400.6/5647.

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Biometry is an area in great expansion and is considered as possible solution to cases where high authentication parameters are required. Although this area is quite advanced in theoretical terms, using it in practical terms still carries some problems. The systems available still depend on a high cooperation level to achieve acceptable performance levels, which was the backdrop to the development of the following project. By studying the state of the art, we propose the creation of a new and less cooperative biometric system that reaches acceptable performance levels.<br>A constante necessida

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Al-Waisy, Alaa S., Rami S. R. Qahwaji, Stanley S. Ipson, and Shumoos Al-Fahdawi. "A Robust Face Recognition System Based on Curvelet and Fractal Dimension Transforms." 2015. http://hdl.handle.net/10454/16600.

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yes<br>n this paper, a powerful face recognition system for authentication and identification tasks is presented and a new facial feature extraction approach is proposed. A novel feature extraction method based on combining the characteristics of the Curvelet transform and Fractal dimension transform is proposed. The proposed system consists of four stages. Firstly, a simple preprocessing algorithm based on a sigmoid function is applied to standardize the intensity dynamic range in the input image. Secondly, a face detection stage based on the Viola-Jones algorithm is used for detecting the fa

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Lin, Heng-Yu, and 林恆宇. "Brown Iris Recognition with Secure Authentication Systems." Thesis, 2015. http://ndltd.ncl.edu.tw/handle/35789178170561613797.

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碩士<br>國立中正大學<br>電機工程研究所<br>103<br>The development of internet application is remarkably rapid recently. However, user cannot ensure weather the connection is reliable or not. Due to this privacy issue, the personal information must be transmitted under an authentication mechanism. Through this mechanism we can prevent malicious access efficiently. General common identity authentication system typically made through a password authentication, smart card authentication, etc., but users have to remember one or more sets of identification and passwords for identity verification. In this paper, we

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楊勁柏. "Implementation of Automatic Iris Recognition Systems Using Java Language." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/50258072117689529597.

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碩士<br>國立暨南國際大學<br>電機工程學系<br>92<br>Recently, a series of terror attacks cast a shadow on the whole world, and security of aviation, transportation and biometrics, are being hot topics and gained more and more attention. In addition, many people pay more attention to network and personal information security, and traditional verifications, such as password and IC card, etc., caused forgetting passwords, losing IC cards, stolen problems are quite inconvenient; Contrary to traditional verification, biometrics does not need memory or hand-carry anything, and not worry about something stolen. Beside

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鐘旭平. "Implementation of Automatic Iris Recognition Systems Using C Language." Thesis, 2004. http://ndltd.ncl.edu.tw/handle/85997628088792420398.

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碩士<br>國立暨南國際大學<br>電機工程學系<br>92<br>Traditionally, the methods for personal authentication are based on what a person possesses (e.g., key, ID card, etc.) or what a person knows (e.g., secret password, PIN number, etc.). However, these methods usually have the following problems. For example: keys may be falsified, ID cards may be lost, and passwords and PIN numbers may be forgotten. Accurate and reliable personal authentication (or identity authentication) is becoming more and more urgent to the operation of cybernetic society. In recent years, iris feature of a human eye is receiving growing i

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Sequeira, Ana Filipa Pinheiro. "Liveness Detection and Robust Recognition in Iris and Fingerprint Biometric Systems." Doctoral thesis, 2015. https://repositorio-aberto.up.pt/handle/10216/81992.

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Sequeira, Ana Filipa Pinheiro. "Liveness Detection and Robust Recognition in Iris and Fingerprint Biometric Systems." Tese, 2015. https://repositorio-aberto.up.pt/handle/10216/81992.

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