A Single-Sensor Hand Geometry And Palmprint Verification System

Citation

Goh, Michael Kah Ong (2004) A Single-Sensor Hand Geometry And Palmprint Verification System. Masters thesis, Multimedia University.

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Abstract

We propose a novel salient point detection algorithm to detect the crucial features of the hand for hand geometry measurement. These points are located on the tips and roots between two fingers. The proposed algorithm does not reguire any guidance material to fix the position of the user's hand. We developed a flexible and adjustable feature extractor for proposed system. The number of features extracted from the hand can be adjusted to suit the level of security desired by the application.

Item Type: Thesis (Masters)
Subjects: T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics
Divisions: Faculty of Information Science and Technology (FIST)
Depositing User: Users 6 not found.
Date Deposited: 16 Dec 2009 08:27
Last Modified: 23 Feb 2010 08:11
URII: http://shdl.mmu.edu.my/id/eprint/138

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