搜索资源列表
nearestneighboralgorithm
- 自己写的，模式识别最近邻算法实现，配有IRIS数据集，非常实用-Their own writing, pattern recognition, nearest neighbor algorithm, with IRIS data set, very useful
ann
- BP神经网络实现算法，测试数据时iris数据集，识别率在95 以上-BP neural network algorithm, test data, iris data set, more than 95 recognition rate
Biometrics2010
- 生物识别：指纹、人脸、虹膜、头骨及静脉识别是最有应用价值的几个，本代码是静脉识别的C++代码，具有极高的参考价值。-Biometrics: fingerprint, face, iris, skull and intravenous application of recognition is the most a few, the vein identification code is C++ code, with a high reference value.
VC_IRIS
- 基于MFC的虹膜检测识别，使用canny算子探测边缘，霍夫变换找到区域，海明测距识别-Iris detection and recognition based on MFC, using the canny operator edge detection, Hough transform to find areas identified Hamming distance
THE-EAR-AS-A-BIOMETRIC
- It is more than 10 years since the first tentative experiments in ear biometrics were conducted and it has now reached the “adolescence” of its development towards a mature biometric. Here we present a timely retrospective of the ensuing rese
Palm_iden_tech
- 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 technol
IrisDC06
- 分类是数据挖掘 、机器学习 和模式识别 中一个重要的研究领域。分类的目的是学会一个分类模型 (称作分类器)，该模型能把未知类别的数据项映射到给定类别中。目前发展较成熟的几种分类算法 如决策树、神经网络、贝叶斯方法、遗传算法等。分类具有广泛的应用，例如医学诊断、信用卡系统的信用分级、图像模式识别等。本毕业设计通过使用鸢尾属植物(IRIS)数据集，对当前数据挖掘中具有代表性的优秀分类算法进行分析和比较，总结出了各种算法的特性，为使用者选择算法或研究者改进算法提供了依据。-Classificatio
a
- 基于Adaboost的人脸与虹膜融合识别-The Adaboost-based face recognition and iris integrated
iriscode
- 通过模式识别将虹膜提取出来，然后进行编码，并与数据库实现对比。-Pattern recognition to extract the iris, and then encode, and comparison with the database.
pxc3877235
- DWT and DCT based Robust Iris Feature Extraction and Recognition Algorithm for Biometric Personal Identification
Irisshibie
- 对虹膜图像进行预处理，对其特征进行提取，最后进行模式识别-Iris image preprocessing, the characteristics of extraction, and finally the pattern recognition
nps20-062306-10
- 做生物识别认证必备文档 指纹数据格式 ANSI-377 ANSI-378 ANSI-381 人脸识别数据格式 ANSI-385 虹膜(视网膜)识别数据格式 ANSI-379 -Essential document identification data format of the fingerprint data format ANSI-377/ANSI-378/ANSI-381 of face recognition data for
c-mean-value
- 学习模式识别时候，会用到C均值处理一些数据。其中处理Iris数据是一个典型的问题，本例子由本人编写，为了完成其数据的分类。总共150个4维数据，将它分为三类。每个数据原归属于三类。-Learning pattern recognition when used C-means to deal with some data. Which deal with Iris data is a typical problem, the examples of which I am writing, in o
jirrm-0.2-20061016-linux.tar
- java open source code for iris pattern recognition system
KNN
- 模式识别大作业K近邻算法（KNN）C++实现，内有iris和wine数据测试以及其他相关资料。-, Pattern Recognition large job K nearest neighbor algorithm (KNN) C++ achieved within the iris and wine data testing and other relevant information.
Kjunzhi
- 模式识别大作业K均值算法matlab平台实现，内有iris数据用于测试一起其他相关资料。-Pattern Recognition great job K-means algorithm matlab platform implemented within the iris data used for testing along with other relevant information.
KL
- 模式识别里的KL变换的代码，应用Iris数据集实现KL变换算法。-KL transform code, pattern recognition application Iris data set KL transform algorithm.
GRNN-and-PNN
- 有导师学习神经网络的分类——,实现鸢尾花种类识别功能-There tutor learning neural network classification- to achieve iris species recognition
06701687
- 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
knniris
- this program finds classificqation rate of iris dataset using KNN method. KNN method is a method in pattern recognition which finds an unknown parameter from K nearest neighbors from set of known parameters.