Description: 基于matlab的K均值聚类程序。其中用IRIS数据进行验证，得到了很好的结果。文件中包含了演示后的结果图-Matlab-based K-means clustering procedure. Which use IRIS data verification, have had good results. File contains the results of the demonstration plan Platform: |
Size: 32768 |
Author:wanghuali |
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Description: 人脸识别是近年来模式识别、图像处理、机器视
觉、神经网络以及认知科学等领域研究的热点课题之
一。作为生物特征识别的一个重要方面, 人脸识别在
档案管理系统、安全验证系统、信用卡验证、公安系统
的罪犯身份识别、银行和海关的监控、人机交互等领域
具有广阔的应用前景。与指纹识别、视网膜识别、虹膜
识别等技术相比, 人脸识别技术在数据采集方面手续
比较简单, 使用者更容易接受。-Face recognition in recent years, pattern recognition, image processing, machine vision, neural networks, and research in the field of cognitive science, one of the hot topics. As a biological feature recognition is an important aspect, face recognition in the file management systems, security verification systems, credit card verification, security system, criminal identification, banking and customs controls, the areas of human-computer interaction has broad application prospects. And fingerprint recognition, retina identification, iris recognition technology, compared with face recognition technology in the data collection procedure is relatively simple, the user is more receptive. Platform: |
Size: 533504 |
Author:天使 |
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Description: 用matlab编写的有关通用数据库中iris数据的验证程序
，希望对大家有所帮助-Prepared using matlab iris data in the common database verification procedures, we want to help Platform: |
Size: 1024 |
Author:li san |
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Description: Along with biological features recognition technology s development，the
high precision biometric technology is widely used in the identity verification
more and more．Such as：fingerprint recognitions，iris scanning，retina
scanning，sound ripple，palm prints，facial features recognition and so
on．The technologies including fingerprints，retina，iris biometric recognition
have relatively high credibility and accuracy．Because fingerprint gathering is
relatively convenient and the hardware is easy to be realized，the fingerprint
recognition algorithm is more mature than the other biometric recognition
technologies．The fingerprint recognition has higher usability and feasibility in
terms of the overall performances．-Along with biological features recognition technology' s development, the high precision biometric technology is widely used in the identity verification more and more. Such as: fingerprint recognitions, iris scanning, retina scanning, sound ripple, palm prints, facial features recognition and so on. The technologies including fingerprints, retina, iris biometric recognition have relatively high credibility and accuracy. Because fingerprint gathering is relatively convenient and the hardware is easy to be realized, the fingerprint recognition algorithm is more mature than the other biometric recognition technologies. The fingerprint recognition has higher usability and feasibility in terms of the overall performances. Platform: |
Size: 540672 |
Author:zhengxinlong |
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