Transformation of Hand-Shape Features for a Biometric Identification Approach

Transformation of Hand-Shape Features for a Biometric Identification Approach

The present work presents a biometric identification system for hand shape identification. The different contours have been coded based on angular descriptions forming a Markov chain descriptor. Discrete Hidden Markov Models (DHMM), each representing a target identification class, have been trained...

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Bibliographic Details
Main Authors: Jesús B. Alonso, Carlos M. Travieso, Juan Carlos Briceño
Format: Article
Language:English
Published: MDPI AG 2012-01-01
Series:Sensors
Subjects:
hand-based biometrics
hand identification
DHMM kernel
supervised classification
image sensor
edge detection
biometrics
Online Access:http://www.mdpi.com/1424-8220/12/1/987/

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