文章基本信息

标题：Compression Based Face Recognition Using DWT and SVM
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作者：Sujatha B M ; Chetan Tippanna Madiwalar ; Suresh Babu K 等
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2016
卷号：7
期号：3
页码：45
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：The biometric is used to identify a person effectively and employ in almost all applications of day to dayactivities. In this paper, we propose compression based face recognition using Discrete Wavelet Transform(DWT) and Support Vector Machine (SVM). The novel concept of converting many images of single personinto one image using averaging technique is introduced to reduce execution time and memory. The DWT isapplied on averaged face image to obtain approximation (LL) and detailed bands. The LL band coefficientsare given as input to SVM to obtain Support vectors (SV’s). The LL coefficients of DWT and SV’s are fusedbased on arithmetic addition to extract final features. The Euclidean Distance (ED) is used to compare testimage features with database image features to compute performance parameters. It is observed that, theproposed algorithm is better in terms of performance compared to existing algorithms.
关键词：Biometrics; Face Recognition; Discrete Wavelet Transform; Support Vector Machine; Fusion.