2004 | OriginalPaper | Buchkapitel
A New Approach to Personal Identification in Large Databases by Hierarchical Palmprint Coding with Multi-features
verfasst von : Jane You, Wai-Kin Kong, David Zhang, King Hong Cheung
Erschienen in: Biometric Authentication
Verlag: Springer Berlin Heidelberg
Enthalten in: Professional Book Archive
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This paper presents a new approach to personal identification using palmprints. To tackle the key issues such as feature extraction, representation, indexing, similarity measurement and fast search for the best match, we propose a hierarchical multi-feature coding scheme to facilitate coarse-to-fine matching for efficient and effective palmprint verification and identification in a large database. In contrast to the existing systems that employ a fixed mechanism for feature extraction and similarity measurement, we extract multiple features and adopt different matching criteria at different levels to achieve high performance by coarse-to-fine guided search. Our experimental results demonstrate the feasibility and effectiveness of the proposed method.