注册日期:2017-04-19 19:18:51

detctionextraireiris-(1).rar - Class for processing 2D Infrared Imaging, for both reflectance IR as well as absorbance IR. Currently, the datatypes are limited to text-based files, namely: (1) OMNIC exported spectra (*.csv file) format: 4000,0 0,016 Additional step was necessary to overcome the use of commas as decimal point. (2) OPUS exported spectra (*.0000 files) format: 4000.0,0.016 (3) OMNIC Map (*.map) The class in invoked as: ,2017-04-21 21:10:53,下载1次
circlematlab.zip - CircleFinder finds circles in an RGB or grayscale Useage example: [r , c , rad] = circlefinder(im) finds circles with the default settings. See also: RGBCircle nonmaxsup1d houghtransform ,2017-04-21 19:52:52,下载2次
irisCODE.rar - segmentiris - peforms automatic segmentation of the iris region an eye image. Also isolates noise areas such as occluding eyelids and eyelashes. Usage: [circleiris, circlepupil, imagewithnoise] = segmentiris(image) Arguments: eyeimage - the input eye image Output: circleiris - centre coordinates and radius of the detected iris boundary ,2017-04-21 19:45:12,下载2次
localisationirismatlab.zip - nction varargout = IrisLocat(varargin) IRISLOCAT M-file for IrisLocat.fig IRISLOCAT, by itself, creates a new IRISLOCAT or raises the existing singleton*. H = IRISLOCAT returns the handle to a new IRISLOCAT or the handle to the existing singleton*. IRISLOCAT( CALLBACK ,hObject,eventData,handles,...) calls the local function named CALLBACK in IRISLOCAT.M with the given input arguments. IRISLOCAT( Property , Value ,...) creates a new IRISLOCAT or raises the existing singleton*. Starting the left, property value pairs are applied to the GUI before IrisLocat_OpeningFunction gets called. An unrecognized property name or invalid value makes property application stop. All inputs are passed to IrisLocat_OpeningFcn via varargin. *See GUI Options on GUIDE s Tools menu. Choose GUI allows only one instance to run (singleton) . ,2017-04-21 18:34:13,下载0次

classification.rar - ECG feature extraction and clasiffication for biometric
src-fusion.zip - A. Fusion at the Feature Extraction Level The data obtained from each sensor is used to compute a feature vector. As the features extracted from one biometric trait are independent of those extracted from the other, it is reasonable to concatenate the two vectors into a single new vector. The primary benefit of feature level fusion is the detection of correlated feature values generated by different feature extraction algorithms and, in the process, identifying a salient set of features that can improve recognition accuracy [14]. The new vector has a higher dimension and represents the identity of the person in a different hyperspace. Eliciting this feature set typically requires the use of dimensionality reduction/selection methods and, therefore, feature level fusion assumes the availability of a large number of training data.
iris-and-fingerprint-feature-fusion.zip - iris and fingerprint feature fusion
iris_recog_casiav4.zip - Iris Recognition with CASIA V4
CASIA-PalmprintV1.zip - 数据库基于vsc++做的一个神经网络学习。希望对大家有用。
ransac.rar - ransac,鲁棒性估计,多用于线估计,圆估计,等利用了概率论的知识,哈哈,互相学习一下
RANSAC-match.rar - 可以在harris角点检测和ncc粗匹配之后实现精确准确的角点匹配,为下一步配准做准备
irisDetectation.zip - 完整的虹膜识别的算法 完整的虹 完整的虹膜识别的算法膜识别的算法
adjgamma.rar - iris recognition iris gamma adjust
67506267irislocalization.rar - iris code with matlab + Daugman iris code matlab + code matlab for iris recognition + iris code detection
55593421pupil.rar - iris recognition code matlab + iris code matlab + iris code matlab + daugman iris recognition
47651459gaborga.rar - iris recognition code matlab + iris code matlab + iris code matlab + code matlab for iris recognition
h.rar - 虹膜识别
code.rar - 基于matlab的虹膜边缘识别 包括边缘检测,归一化,用汉明矩进行特征匹配
iris.zip - it is used to find the hamming distance between the two iris templates.The shift bits file will taken into the rotational inconsistency
iris.zip - Matlab code for iris segmentation and normalisation
Expert_Recognition_executable.zip - Pour la normalisation des régions de l iris, une technique basée sur le Modèle Caoutchouc en feuilles de DAUGMAN a été employée. Le centre de la pupille est considéré comme le point de référence, et les vecteurs radiales traversent la région de l iris, comme le montre la figure 24
Lee-Region.zip - Finger region localisation
SE_detec.rar - detection and localisation of objects
irisphaseprot.zip - iris code matlab+iris segmentation with matlab +iris localisation with matlab + iris pattern