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This a thesis paper on iris recognition. it will be very helpful in guyz who are doin projects on biometric authentication- This is a thesis paper on iris recognition. it will be very helpful in guyz who are doin projects on biometric authentication
Date : 2026-01-05 Size : 1.68mb User : Shaheer

A useful and novel algorithm for iris pattern recognition power point slides
Date : 2026-01-05 Size : 554kb User : Shivakumar

本文结合人脸识别、指纹识别以及虹膜识别传统生物特征识别技术,对近年来研究人员在非限定生物特征方面的努力与成就进行回顾。-In this paper, face recognition, fingerprint recognition and iris recognition biometric technology, the traditional, to the limit in recent years, researchers in non-biological characteristics of the efforts and achievements were reviewed.
Date : 2026-01-05 Size : 731kb User : ygliang30

掌纹识别技术发展至今已经十年,但与人、 虹膜以及指纹识别等技术相比,掌纹识别还是一个较新的技术,尚有很多问题需进一步研究。-Palmprint identification technology has been for decades, but with people, iris and fingerprint recognition technology compared to palmprint recognition is still a relatively new technology, there are many issues need further study.
Date : 2026-01-05 Size : 613kb User : ygliang30

iris pattern recognition
Date : 2026-01-05 Size : 669kb User : subaganesh

A fusion approach to unconstrained iris recognition
Date : 2026-01-05 Size : 901kb User : larbibios

Comparison of iris Recognition Algorithms
Date : 2026-01-05 Size : 506kb User : OMAR

research paper on iris recognition using method of moments
Date : 2026-01-05 Size : 361kb User : saloni chopra

iris recognition IEEE research paper
Date : 2026-01-05 Size : 782kb User : saloni chopra

research paper on iris recognition system using comparison of eyelids and eye lashes
Date : 2026-01-05 Size : 281kb User : saloni chopra

A Half-Eye Wavelet Based Method for Iris Recognition
Date : 2026-01-05 Size : 1.71mb User : roko rabbolini

VeriEye SDK 2.2-iris recognition system
Date : 2026-01-05 Size : 480kb User : roko rabbolini

When capturing an iris image under unconstrained conditions and without user cooperation, the image quality can be highly degraded by poor focus, off-angle view, motion blur, specular reflection (SR), and other artifacts. The noisy iris images increase the intra-individual variations, thus markedly degrading recognition accuracy. To overcome these problems, we propose a new iris recognition algorithm for noisy iris images.
Date : 2026-01-05 Size : 998kb User : karima_neh

Biometric recognition is the science of establishing the identity of a person using his/her physical or biological characteristics. Biometric systems can employ different kinds of features, e.g., features of fingerprint, face, iris or posture. EEG signals are the signature of neural activities. It has several advantages, such as (i) it is confidential as it corresponds to a mental task, (ii) it is very difficult to mimic and (iii) it is almost impossible to steal as the brain activity is sensitive to the stress and the mood of the person, an aggressor cannot force the person to reproduce his/her mental pass-phrase. In this report the feasibility of the EEG signals as raw materials for conducting biometric authentication of individuals is investigated. Brain responses are extracted with visual stimulation (leading to biological brain responses known as Visual Evoked Potentials) or while relaxing with the eyes closed.
Date : 2026-01-05 Size : 408kb User : ARUNA RAJAN

Fusing color and shape descriptors in the recognition of degraded iris images acquired at visible wavelengths(1)
Date : 2026-01-05 Size : 1.9mb User : wang

facial and iris recognition
Date : 2026-01-05 Size : 101kb User : embedded
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