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ActiveFaceRecognition
- 生物特征的自动识别技术得到广泛研究与开发，如指纹识别、掌形识别等。人脸识别是基于脸像的身份鉴别，-Automatic biometric identification technology is widely research and development, such as fingerprint recognition, hand geometry identification. Face recognition is based
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
Design
- 指纹识别是生物识别技术中的一种。指纹具有唯一性和不变性。这个特点使得指纹在生物特征识别技术中得以正式应用。指纹识别技术飞速发展及其广泛应用开创个人身份鉴别的新时代！-Fingerprint recognition is a biometric technology. Fingerprint is unique and invariant. This feature makes the biometric fingerprint tech
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.
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- 融合指纹和指静脉的多模态生物识别技术的研究.kdh-Integration of fingerprints and finger vein multi-modal biometric technology research. Kdh
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. Th
attachments_2009_03_25
- signature and voice recognition
Face_Recognition
- face recognition biometric
qqq
- Secured Authentication of Space Specified Token with Biometric Traits – Face and Fingerprint
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- Using Otoacoustic Emissions as a Biometric
v
- in the voice biometric consept
a
- _“An Application of Biometric Technology Voice Recognition”
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- BioSec Multimodal Biometric Database in Text-Dependent Speaker Recognition
a
- Ear Biometric An Aid to Personal Identification
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 id
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