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|Title: ||On hierarchical palmprint coding with multiple features for personal identification in large databases|
|Authors: ||You, Jane|
Kong, Wai-kin Adams
Zhang, David D.
|Subjects: ||Biometric identification|
Feature extraction and representation
|Issue Date: ||Feb-2004 |
|Citation: ||IEEE transactions on circuits and systems for video technology, Feb. 2004, v. 14, no. 2, p. 234-243.|
|Abstract: ||Automatic personal identification is a significant component of security systems with many challenges and practical
applications. The advances in biometric technology have led to the very rapid growth in identity authentication. 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 multifeature coding scheme to facilitate coarse-to-fine matching for efficient and effective palmprint verification and identification in a large database. In our
approach, four-level features are defined: global geometry-based key point distance (Level-1 feature), global texture energy (Level-2 feature), fuzzy “interest ” line (Level-3 feature), and local directional
texture energy (Level-4 feature). 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 a coarse-to-fine guided search. The proposed
method has been tested in a database with 7752 palmprint images from 386 different palms. The use of Level-1, Level-2, and Level-3 features can remove candidates from the database by 9.6%, 7.8%, and 60.6%, respectively. For a system embedded with
an Intel Pentium III processor (500 MHz), the execution time of the simulation of our hierarchical coding scheme for a large
database with 106 palmprint samples is 2.8 s while the traditional sequential approach requires 6.7 s with 4.5% verification equal
error rate. Our experimental results demonstrate the feasibility and effectiveness of the proposed method.|
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|Type: ||Journal/Magazine Article|
|Appears in Collections:||COMP Journal/Magazine Articles|
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