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Shape-based hand recognition approach using the morphological pattern spectrum

[+] Author Affiliations
Juan Manuel Ramirez-Cortes

National Institute for Astrophysics, Optics, and Electronics, Electronics Department, Tonantzintla, Puebla, 72840, Mexico

Pilar Gomez-Gil

National Institute for Astrophysics, Optics, and Electronics, Computer Science Department, Tonantzintla, Puebla, 72840, Mexico

Gabriel Sanchez-Perez

National Institute for Astrophysics, Optics, and Electronics, Electronics Department, Tonantzintla, Puebla, 72840, Mexico

Cesar Prieto-Castro

National Institute for Astrophysics, Optics, and Electronics, Electronics Department, Tonantzintla, Puebla, 72840, Mexico

J. Electron. Imaging. 18(1), 013012 (March 19, 2009). doi:10.1117/1.3099712
History: Received June 10, 2008; Revised January 29, 2009; Accepted February 11, 2009; Published March 19, 2009
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We propose the use of the morphological pattern spectrum, or pecstrum, as the base of a biometric shape-based hand recognition system. The system receives an image of the right hand of a subject in an unconstrained pose, which is captured with a commercial flatbed scanner. According to pecstrum property of invariance to translation and rotation, the system does not require the use of pegs for a fixed hand position, which simplifies the image acquisition process. This novel feature-extraction method is tested using a Euclidean distance classifier for identification and verification cases, obtaining 97% correct identification, and an equal error rate (EER) of 0.0285 (2.85%) for the verification mode. The obtained results indicate that the pattern spectrum represents a good feature-extraction alternative for low- and medium-level hand-shape-based biometric applications.

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© 2009 SPIE and IS&T

Citation

Juan Manuel Ramirez-Cortes ; Pilar Gomez-Gil ; Gabriel Sanchez-Perez and Cesar Prieto-Castro
"Shape-based hand recognition approach using the morphological pattern spectrum", J. Electron. Imaging. 18(1), 013012 (March 19, 2009). ; http://dx.doi.org/10.1117/1.3099712


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