Search results for "Iris recognition"

showing 5 items of 5 documents

A Novel Iris Recognition System based on Micro-Features

2007

In this paper a novel approach for iris recognition system based on iris micro-features is proposed. The proposed system follows the minutiae based approach developed for fingerprint recognition systems. The proposed system uses four iris microfeatures, considered as minutiae, for identification. The individualized characteristics are nucleus, collarette, valleys and radius. Iris recognition is divided in three main phases: image preprocessing, micro-features extraction and matching. The algorithm has been tested on CASIA v1.0 iris image database obtaining an high accuracy. The obtained experimental results have been analyzed and compared with the Daugman based approach.

MinutiaeMatching (graph theory)Biometricsbusiness.industryIris recognitionFeature extractionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONPattern recognitionFingerprint recognitionComputingMethodologies_PATTERNRECOGNITIONGeographyiris micro-characteristIcs recognition systemPreprocessorComputer visionIRIS (biosensor)Artificial intelligencebusiness
researchProduct

Novel Iris Biometric Watermarking Based on Singular Value Decomposition and Discrete Cosine Transform

2014

Published version of an article in the journal: Mathematical Problems in Engineering. Also available from the publisher at: http://dx.doi.org/10.1155/2014/926170 A novel iris biometric watermarking scheme is proposed focusing on iris recognition instead of the traditional watermark for increasing the security of the digital products. The preprocess of iris image is to be done firstly, which generates the iris biometric template from person's eye images. And then the templates are to be on discrete cosine transform; the value of the discrete cosine is encoded to BCH error control coding. The host image is divided into four areas equally correspondingly. The BCH codes are embedded in the sing…

BiometricsArticle SubjectGeneral MathematicsIris recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONEngineering (all)Robustness (computer science)Computer Science::MultimediaDiscrete cosine transformMathematics (all)Computer visionDigital watermarkingTransform codingMathematicsComputer Science::Cryptography and Securitybusiness.industrylcsh:MathematicsVDP::Technology: 500::Mechanical engineering: 570General EngineeringWatermarkVDP::Technology: 500::Information and communication technology: 550lcsh:QA1-939ComputingMethodologies_PATTERNRECOGNITIONlcsh:TA1-2040Computer Science::Computer Vision and Pattern RecognitionArtificial intelligencebusinesslcsh:Engineering (General). Civil engineering (General)BCH codeMathematics (all); Engineering (all)Mathematical Problems in Engineering
researchProduct

Design and Implementation of a Low-cost Embedded Iris Recognition System on a Dual-core Processor Platform

2012

Abstract Design of a low-cost embedded iris recognition system is described in this paper. Firstly, we develop a simple and effective iris image acquisition unit, which is cheap and easy to use. This is achieved by both of hardware design and image evaluation algorithm development. Secondly, the iris recognition algorithm is introduced, including iris segmentation, image normalization, feature extraction, and code matching. The algorithm implementation architecture is based on an embedded dual-core processor platform, Texas Instruments TMS320DM6446 evaluation module (Davinci), which contains an ARM core and a DSP core in one chip. Thirdly, the evaluation experiments are performed on the est…

Multi-core processorbusiness.industryComputer scienceFeature extractionIris recognitionComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISIONNormalization (image processing)SegmentationIRIS (biosensor)General MedicinebusinessDigital signal processingComputer hardwareIFAC Proceedings Volumes
researchProduct

Three-dimentional tracking of human eye

2003

The study of human movements is the object of numerous searches, among them, the study of the face movements and more particularly the eye kinetics estimate represents an important part. A study realized by artificial vision is presented here. It allows to characterize eye movements in normal shooting condition (mobility of the subject, background lighting). Our approach allows to obtain in a simple way the localization of the iris and the characterization of their movement in the three dimensional shape. The absolute 3D movement of eyeballs and their relative movement with regard to the head are obtained, even if this one are moving.

Eye tracking on the ISSMovement (music)business.industryMachine visionIris recognitionEye movementmedicine.anatomical_structureGeographyFace (geometry)medicineEye trackingHuman eyeComputer visionArtificial intelligencebusinessSPIE Proceedings
researchProduct

A Frequency-based Approach for Features Fusion in Fingerprint and Iris Multimodal Biometric Identification Systems

2010

The basic aim of a biometric identification system is to discriminate automatically between subjects in a reliable and dependable way, according to a specific-target application. Multimodal biometric identification systems aim to fuse two or more physical or behavioral traits to provide optimal False Acceptance Rate (FAR) and False Rejection Rate (FRR), thus improving system accuracy and dependability. In this paper, an innovative multimodal biometric identification system based on iris and fingerprint traits is proposed. The paper is a state-of-the-art advancement of multibiometrics, offering an innovative perspective on features fusion. In greater detail, a frequency-based approach result…

Settore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniBiometricsComputer sciencebusiness.industryIris recognitionFeature extractionFingerprint Verification CompetitionPattern recognitionFingerprint recognitionSensor fusionComputer Science ApplicationsHuman-Computer InteractionIdentification (information)Control and Systems EngineeringMultimodal biometricsFingerprintFusion techniques identification systems iris and fingerprint biometry multimodal biometric systemsComputer visionArtificial intelligenceElectrical and Electronic EngineeringbusinessSoftwareInformation Systems
researchProduct