基于分块DCV和支持向量机的人耳识别

IF 0.4 Q4 TELECOMMUNICATIONS

International Journal of Interdisciplinary Telecommunications and Networking Pub Date : 2016-04-01 DOI:10.4018/IJITN.2016040104

Hailong Zhao, Junyan Yi

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引用次数: 3

摘要

近年来，自动耳识别已成为研究的热点。有效的特征提取是基于内容的耳图像检索应用的重要步骤之一。本文提出了一种基于块判别公共向量的耳部检索向量构建方法。该方法首先将耳图像分成16个块，对子图像进行DCV提取特征;在此基础上，利用支持向量机作为分类器进行决策。实验结果表明，该方法优于经典的PCA+LDA，是一种有效的人耳识别方法。

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Combining Block DCV and Support Vector Machine for Ear Recognition

In recent years, automatic ear recognition has become a popular research. Effective feature extraction is one of the most important steps in Content-based ear image retrieval applications. In this paper, the authors proposed a new vectors construction method for ear retrieval based on Block Discriminative Common Vector. According to this method, the ear image is divided into 16 blocks firstly and the features are extracted by applying DCV to the sub-images. Furthermore, Support Vector Machine is used as classifier to make decision. The experimental results show that the proposed method performs better than classical PCA+LDA, so it is an effective human ear recognition method.

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来源期刊

International Journal of Interdisciplinary Telecommunications and Networking TELECOMMUNICATIONS-

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期刊介绍： The International Journal of Interdisciplinary Telecommunications and Networking (IJITN) examines timely and important telecommunications and networking issues, problems, and solutions from a multidimensional, interdisciplinary perspective for researchers and practitioners. IJITN emphasizes the cross-disciplinary viewpoints of electrical engineering, computer science, information technology, operations research, business administration, economics, sociology, and law. The journal publishes theoretical and empirical research findings, case studies, and surveys, as well as the opinions of leaders and experts in the field. The journal''s coverage of telecommunications and networking is broad, ranging from cutting edge research to practical implementations. Published articles must be from an interdisciplinary, rather than a narrow, discipline-specific viewpoint. The context may be industry-wide, organizational, individual user, or societal. Topics Covered: -Emerging telecommunications and networking technologies -Global telecommunications industry business modeling and analysis -Network management and security -New telecommunications applications, products, and services -Social and societal aspects of telecommunications and networking -Standards and standardization issues for telecommunications and networking -Strategic telecommunications management -Telecommunications and networking cultural issues and education -Telecommunications and networking hardware and software design -Telecommunications investments and new ventures -Telecommunications network modeling and design -Telecommunications regulation and policy issues -Telecommunications systems economics