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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主要な著者:	Jesús B. Alonso, Carlos M. Travieso, Juan Carlos Briceño
フォーマット:	Artigo
言語:	Inglês
出版事項:	MDPI AG 2012-01-01
シリーズ:	Sensors
主題:	hand-based biometrics hand identification DHMM kernel supervised classification image sensor edge detection biometrics
オンライン･アクセス:	http://www.mdpi.com/1424-8220/12/1/987/
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