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Description: 人脸识别技术可以应用于基于网络的身份认证，我们实现了基于WebCam的人脸识别与跟踪系统。本文以WebCam采集的视频流为数据源，截取视频流中的单帧图像，通过转换色彩空间、人脸肤色建模、后处理操作和人脸定位算法实现了人脸检测，并以此为基础实现了在视频流中对于人脸的跟踪。试验结果表明，我们所实现的人脸识别算法适用于近距离人脸的检测，可以应用于基于WebCam的身份认证。-Face recognition technology can be applied to Web-based authentication, we realize the face recognition based on the WebCam with the tracking system. This paper collected WebCam video stream for the data source, the interception of the video stream in the single frame images, through the color space conversion, color facial modeling, post-processing operation and Face Location Algorithm for Face Detection realized as the basis for the realize in the video stream for tracking human faces. The experimental results show that we realize the face recognition algorithm applied to close-up face detection, can be applied to authentication based on the WebCam.
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Size: 1091584 |
Author: chenshi |
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Description: A biometric system provides automatic identification of an individual based on a unique feature or characteristic posse d by the individual. Iris recognition is a part of the biometric identification methodologies which also include facial, fingerprint, palm and many other biological traits. They all offer new solutions for person identification, authentication and security. Currently users have to carry security badges or know certain pin/pass codes in order to get into secure zones or to log into a computer. In this paper we propose an algorithm for iris recognition, which can be applied in real time with standard webcam and with good matching result.-A biometric system provides automatic identification of an individual based on a unique feature or characteristic possessed by the individual. Iris recognition is a part of the biometric identification methodologies which also include facial, fingerprint, palm and many other biological traits. They all offer new solutions for person identification, authentication and security. Currently users have to carry security badges or know certain pin/pass codes in order to get into secure zones or to log into a computer. In this paper we propose an algorithm for iris recognition, which can be applied in real time with standard webcam and with good matching result.
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Size: 641024 |
Author: tuan |
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Description: 在VS2010平台上结合opencv实现在动态视频中的人脸识别，通过调动PC自带的网络摄像头进行视频的读取，进行人脸部特征的定位。当然识别效果，还有待进一步优化-Bound to VS2010 platform opencv realize dynamic video face recognition, video read through the mobilization of PC comes with webcam, targeting human facial features. Of course recognition effect remains to be further optimized
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Size: 16509952 |
Author: 浮萍 |
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