基于PCA和神经网络的人脸识别算法研究

在MATLAB环境下,取ORL人脸数据库的部分人脸样本集,基于PCA方法提取人脸特征,形成特征脸空间,然后将每个人脸样本投影到该空间得到一投影系数向量,该投影系数向量在一个低维空间表述了一个人脸样本,这样就得到了训练样本集。同时将另一部分ORL人脸数据库的人脸作同样处理得到测试样本集。然后基于最近邻算法进行分类,得到识别率,接下来使用BP神经网络算法进行人脸识别,最后通过基于神经网络算法和最近邻算法进行综合决策,对待识别的人脸进行分类。     

浅谈射频识别技术在图书馆中的应用

本文通过对射额卡、射频识别技术基本概念的阐述，对比了射频识别技术与现在条形码识别技术的差异，论述了射频识别技术应用于图书馆中的优越性。     

基于积分投影的眼睛定位系统设计

眼睛定位是很多人脸检测算法的关键步骤,是近二十年来图像处理、模式识别和计算机视觉领域中极富挑战性的研究课题之一。眼睛定位常用的精确检测方法主要有：霍夫变换法、变形模板法、边缘特征分析法和对称变换法等。文中采用一种基于积分投影的方法进行眼睛位置的有效快速定位,并分别利用水平和垂直灰度积分投影曲线结合人脸的结构特征找到眼睛的位置坐标,实现了准确的眼睛定位。     

语音识别技术概述

语音识别主要指让机器听懂人说的话,即在各种情况下,准确识别出语音的内容,从而根据其信息执行人的各种意图.根据作者的工程开发实践,本文从语音识别技术、识别方法和识别程序设计编写等方面,详细地概述了语音识别技术.     

Recognising Prior Learning: Understanding the Relations Among Experience, Learning and Recognition from a Constructivist Perspective

This article discusses the relation between experience and learning in the context of recognition of prior learning (RPL) and from an experiential constructivist perspective. The study is based on a case of in-service training, based on RPL, in the care sector for elderly people. The data consist of interviews with actors in this process, which have been analysed with a qualitative interpretative approach. The results show how prior learning plays a central role in the training process, both on an individual and a collective level. The participants’ prior learning is taken as the starting point, particularly in learning conversations where prior learning is made visible and used, and where participants learn from each other. Further, new learning is taking place as a consequence of the recognition process, and the study particularly highlights how prior experiences could be the basis of new learning in a process of reflection and discussion.     

Implementing VLPR systems based on TMS320DM6421

This paper gives a practical schema for using DSP boards to construct Vehicle License Plate Recognition （VLPR） modules that could be embedded in any Intelligent Transportation System （ITS）. Using DSP can avoid the heavy investment in dedicated VLPR system and improve the computational power compared to PC software environment. Low cost, high computational power, and high flexibility of DSP provide the License Plate Recognition System （LPRS） an excellent cost-effective solution to execute the major part of the recognition tasks. This paper describes a successful implementation of VLPR system based on Texas Instruments （TI）＇s TMS320DM642. The DSP board acquires video （which could be output to a monitor for surveillance） from a camera, captures images from the video, locates and recognizes the license plates in images, and then sends the recognized results and related images after compression to a host PC through the network. Finally, the overall software is optimized according to the features of DM642 chip. Experiments showed that the DSP VLPR system performs well on the local license plates, and that the processing speed and accuracy can meet the requirement of practical applications.     

基于小波包分解的虹膜图像识别

虹膜的身份识别在国际上已成为一个研究的热点领域,本文初步探索了基于小波包分解的虹膜图像识别处理技术,实验结果表明基于小波包分解的虹膜图像识别方法是有效的。     

图像识别技术在录播系统中的应用研究

自动录播系统是教育信息化支撑体系中非常重要的一环,图像识别是人工智能的一个重要领域。图像识别应用于自动录播系统中,是实现录播系统从自动走向智能的重要环节。文章的研究基于目前图像识别研究中已经相对成熟且有成功应用案例的技术,构造录播系统的典型框架结构,给出基本设置,讨论可以获取的信息,分析如何解决实际应用中的问题。