Search - iris recognition

Search - iris recognition - List

[Software Engineering] IrisDOC DL : 0: 一篇关于虹膜识别的论文，可以参考。转载的-one on Iris Recognition of essays and reference. Reprinted
Date : 2026-01-05 Size : 539kb User : 朱大
[Software Engineering] hongmoshibie DL : 0: 基于TMS320VC5402的虹膜识别系统,使用MATLAB进行编程,实现-based TMS320VC5402 iris recognition system, using MATLAB programming,
Date : 2026-01-05 Size : 45kb User : bingbing
[Software Engineering] iriscode DL : 0: code for iris recognition
Date : 2026-01-05 Size : 3.15mb User : sharad
[Software Engineering] LiborMasekThesis DL : 0: this pdf file gives good understanding of how to implement iris detection and recognition in matlab..it includes all steps to make the project understandable.
Date : 2026-01-05 Size : 1.68mb User : bunty
[Software Engineering] noisy_iris_recognition DL : 0: iris recognition by wavelet under the noisy condition
Date : 2026-01-05 Size : 378kb User : meysam
[Software Engineering] Iris-Recognition-Algorithm-and-Implementation DL : 0: 虹膜身份识别是近年来新兴的一种身份识别技术，其科学研究意义重大，应用前景广泛。它以高精度及几乎无法伪造而成为近期国际研究及应用中一个受到特别关注的主题，市场更是为这项技术的发展提供了广阔的舞台，与指纹识别等相比更有长处，是一项值得研究和推广的新技术-Iris identification is the identification in recent years, a new technology, its scientific significance, prospects Wide. It is almost impossible to counterfeit high-precision and become a recent international study and application of a particular concern in the main Question, the market is for the development of this technology provides a broad stage, and more strength than fingerprint recognition is a Items worthy of study and promotion of new technologies
Date : 2026-01-05 Size : 5.6mb User : 憨豆
[Software Engineering] Iris-Recognition DL : 0: Java Source Code for Iris Recognition.
Date : 2026-01-05 Size : 153kb User : aymen
[Software Engineering] iris-recognition DL : 0: iris recognition using hilbert huang transform
Date : 2026-01-05 Size : 574kb User : tuan
[Software Engineering] FinalReportIrisRec DL : 0: A biometric system provides automatic identification of an individual based on a unique feature or characteristic posse d by the individual. Iris recognition is a part of the biometric identification methodologies which also include facial, fingerprint, palm and many other biological traits. They all offer new solutions for person identification, authentication and security. Currently users have to carry security badges or know certain pin/pass codes in order to get into secure zones or to log into a computer. In this paper we propose an algorithm for iris recognition, which can be applied in real time with standard webcam and with good matching result.-A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is a part of the biometric identification methodologies which also include facial, fingerprint, palm and many other biological traits. They all offer new solutions for person identification, authentication and security. Currently users have to carry security badges or know certain pin/pass codes in order to get into secure zones or to log into a computer. In this paper we propose an algorithm for iris recognition, which can be applied in real time with standard webcam and with good matching result.
Date : 2026-01-05 Size : 626kb User : tuan
[Software Engineering] ES_HomeAssignment DL : 0: embedded system design of iris recognition system
Date : 2026-01-05 Size : 514kb User : saru
[Software Engineering] 06701687 DL : 0: The ear, as a biometric, has been given less attention, compared to other biometrics such as fingerprint, face and iris. Since it is a relatively new biometric, no commercial applications involving ear recognition are available. Intensive research in this field is thus required to determine the feasibility of this biometric. In medical field, especially in case of accidents and death, where face of patients cannot be recognized, the use of ear can be helpful. In this work, yet another method of recognizing people through their ears is presented. Local Binary Patterns (LBP) is used as features and the results are compared with that of Principal Components Analysis (PCA). LBPhas a high discriminative power, tolerance against globalillumination changes and low computational load. Experiments were done on the Indian Institute of Technology (IIT) Delhi ear image database and results show that LBP yields a recognition rate of 93 while PCA gives only 85 .-The ear, as a biometric, has been given less attention, compared to other biometrics such as fingerprint, face and iris. Since it is a relatively new biometric, no commercial applications involving ear recognition are available. Intensive research in this field is thus required to determine the feasibility of this biometric. In medical field, especially in case of accidents and death, where face of patients cannot be recognized, the use of ear can be helpful. In this work, yet another method of recognizing people through their ears is presented. Local Binary Patterns (LBP) is used as features and the results are compared with that of Principal Components Analysis (PCA). LBPhas a high discriminative power, tolerance against globalillumination changes and low computational load. Experiments were done on the Indian Institute of Technology (IIT) Delhi ear image database and results show that LBP yields a recognition rate of 93 while PCA gives only 85 .
Date : 2026-01-05 Size : 242kb User : krish
[Software Engineering] proiect DL : 0: In this paper we present the usefulness of the algorithm DCT (Discrete cosine Transform) blocks applied level image compression JPEG (Joint Photographic Experts Goup). It has been shown that this algorithm is the most efficient in the case of compression because it has very good properties for compaction energy related values. As a basic principle we eliminate high frequencies and keep the low and medium without visibly affecting image. DCT in JPEG compression algorithm is encountered in practical applications such as face detection, skin color, facial recognition, iris, fingerprints
Date : 2026-01-05 Size : 3.35mb User : Stumer_Robert
[Software Engineering] original DL : 0: Iris recognition using Support vector machine and Hamming distance
Date : 2026-01-05 Size : 3kb User : SELVA GANAPATHI
[Software Engineering] canny DL : 0: canny edge technique for iris recognition system
Date : 2026-01-05 Size : 1kb User : veeru
[Software Engineering] iris-recognitions-system DL : 0: An efficient iris recognition system based on Log Gabor filter and Hamming distance
Date : 2026-01-05 Size : 954kb User : Arif
[Software Engineering] iris disease recognition DL : 0: iris recognition system to determine gluacoma disease using hough transform as feature extraction
Date : 2026-01-05 Size : 54kb User : femco