Evaluation of Supervised vs. Non Supervised Databases for Hand Geometry Verification

Autor:	Marcos Faundez-Zanuy, Miguel Ferrer, Joan Fabregas, Jesús B. Alonso, Carlos M. Travieso
Rok vydání:	2007
Předmět:	Scanner Database Biometrics Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Pattern recognition computer.software_genre Image (mathematics) Image acquisition Computer vision Artificial intelligence business computer Hand geometry
Zdroj:	Computational and Ambient Intelligence ISBN: 9783540730064 IWANN
Popis:	In this paper, we describe two different hand image databases. One has been acquired in laboratory condition with a document scanner, and the other one in operational conditions using a webcam and an infrared filter. The experimental part describes some verification experiments and extracts relevant conclusions about image acquisition and biometric classification.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::fc87e38f36f58507bdb49fdc79516a39 https://doi.org/10.1007/978-3-540-73007-1_136 Zobrazit plný text záznamu