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Title: Texture-based palmprint retrieval using a layered search scheme for personal identification
Authors: Li, W
You, J 
Zhang, DD 
Issue Date: Oct-2005
Source: IEEE transactions on multimedia, Oct. 2005, v. 7, no. 5, p. 891-898
Abstract: This paper presents a new approach to palmprint retrieval for personal identification. Three key issues in image retrieval are considered—feature extraction, similarity measurement and fast search for the best match of the queried image in an image database. We propose a texture-based approach for palmprint feature representation. The concept of texture energy is introduced to define both global and local features of a palmprint, which are characterized with high convergence of inner-palm similarities and good dispersion of inter-palm discrimination. The searching is carried out in a layered fashion: the global features are first used to guide the fast selection of a small set of similar candidates from the database and then the local features are applied to determine the final output from the selected set of similar candidates. The experimental results illustrate the effectiveness of the proposed approach.
Keywords: Content-based image retrieval
Image matching
Palmprint feature extraction
Personal identification
Similarity measurement
Texture features
Publisher: Institute of Electrical and Electronics Engineers
Journal: IEEE transactions on multimedia 
ISSN: 1520-9210
EISSN: 1941-0077
DOI: 10.1109/TMM.2005.854380
Rights: © 2005 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
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