搜索资源列表
Fingerprintdetection
- 这是通过纹理分析和小波来处理指纹的优秀文章，文章从新的角度，进行了指纹识别-Texture and Wavelet-Based Spoof Fingerprint Detection for Fingerprint Biometric Systems
biokeydemo
- Software sdk biometric figerprint
eer3455
- biometric source code
CG-NVNF4
- retinal recognition biometric
shengwushibiebiaozhunjiekou
- incits生物识别数据接口定义 .- incits biometric data interface definitions.
10[1].1.1.5.1092
- Video analysis of human dynamics is an important area of research devoted to detecting people and understanding their dynamic physical behavior in a complex environment that can be used for biometric applications. This paper provides a detailed s
attachments_2009_03_25
- signature and voice recognition
pam-bioapi_0.4rc2.1.tar
- 生物认证中用的api信息 -bioapi for biometric
A_Pretreatment_Method_of_Biometrics_Based_on_Color
- 生物特征识别技术作为一种身份鉴别手段具有独特的优势。在生物特征识别系统中, 采集数据的预处 理是不可或缺的环节。以人脸识别为例, 介绍了一种在复杂背景的彩色图像中, 基于颜色和知识的生物特征预处理 方法。首先利用颜色信息从图像中分割出类肤色区域, 然后运用人脸几何特征和眼睛的提取定位人脸。仿真实验表 明, 该算法能较为准确地定位彩色图像中的正面或小角度偏转的人脸, 具有较快的运算速度。-Biometrics as an identification tool has a unique
restore
- 图像增强的目标是改进图片的质量，例如增加对比度，去掉模糊和噪声，修正几何畸变等；图像复原是在假定已知模糊或噪声的模型时，试图估计原图像的一种技术。 图像增强按所用方法可分成频率域法和空间域法。前者把图像看成一种二维信号，对其进行基于二维傅里叶变换的信号增强。采用低通滤波（即只让低频信号通过）法，可去掉图中的噪声；采用高通滤波法，则可增强边缘等高频信号，使模糊的图片变得清晰。具有代表性的空间域算法有局部求平均值法和中值滤波（取局部邻域中的中间像素值）法等，它们可用于去除或减弱噪声。 -A
Iris_recognition
- Iris recognition is a method of biometric authentication that uses pattern-recognition techniques based on high-resolution images of the irides of an individual s eyes.
faceandvoice
- 生物识别源码，基于人脸和声纹的双重识别，有源码-Biometric source code, based on sound patterns of the double face recognition, a source
BioAPI_CSHARP_Wrap-1.0
- Biometric Csharp api used for ZKeeper from zksoftware
spra
- DSP for Smart Biometric Solutionsw
01298884
- Biometric IEEE paper2
01637516
- Biometric IEEE paper5
01269753
- Biometric IEEE paper1
01356028
- Biometric IEEE paper3
01542519
- Biometric IEEE paper4
generateROC
- Generates the values in a ROC curve given a similarity matrix. For use in evaluation of biometric recognition systems (e.g. fingerprint, face, iris, etc.)