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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Omidyeganeh, M. Javadtalab, A. Ghaemmaghami, S. Shirmohammadi, S. |
| Copyright Year | 2012 |
| Description | Author affiliation: Distributed and Collaborative Virtual Environments Research Lab., University of Ottawa, Canada (Javadtalab, A.; Shirmohammadi, S.) || Dept. of Electrical Eng., Sharif University of Technology, Tehran, Iran (Omidyeganeh, M.; Ghaemmaghami, S.) |
| Abstract | In this paper, Kullback-Leibler Distance (KLD) is employed to measure the dissimilarity between marginal statistical features of contourlet transform to fingerprint identification. Conourlet transform is a non separable two dimensional transform which can well capture the geometry of edges in the images which convey important information for the human visual system (HVS). Here, marginal statistics of each transform subband are modeled by a Generalized Gaussian Density (GGD) model and the GGD parameters-α and β- are granted as the extracted features from the corresponding subbands and the fingerprint recognition is done based on k-NN classifier employing Kullback-Leibler Distance (KLD) measure. The fingerprint recognition results confirm the high efficiency of the proposed system comparing with the state of the art methods. |
| Starting Page | 371 |
| Ending Page | 375 |
| File Size | 2459736 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457717734 |
| ISSN | 10915281 |
| e-ISBN | 9781457717727 |
| DOI | 10.1109/I2MTC.2012.6229585 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-13 |
| Publisher Place | Austria |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Fingerprint recognition Feature extraction Image matching Wavelet transforms Databases Error analysis K-NN Classifier contourlet transform generalized Gaussian density Kullback-Leibler distance measure |
| Content Type | Text |
| Resource Type | Article |
| Subject | Instrumentation Electrical and Electronic Engineering |
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