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http://hdl.handle.net/10553/44100
| Título: | Using hand knuckle texture for biometric identifications | Autores/as: | Ferrer, Miguel A. Travieso, Carlos M. Alonso, Jesus B. |
Clasificación UNESCO: | 3307 Tecnología electrónica | Palabras clave: | Biometrics , Fingers , Geometry , Glass , Image sensors , Sensor systems , Employment , Image segmentation , Authentication , Thumb | Fecha de publicación: | 2006 | Editor/a: | 0885-8985 | Publicación seriada: | IEEE Aerospace and Electronic Systems Magazine | Resumen: | A proposed first approach of a novel and simple biometric verification system based on the texture of the hand knuckles. A knuckle image with scale, rotation, and translation invariance is isolated from the hand recorded image with digital image processing techniques. The wrinkle of the knuckle images are extracted to a black and white image which is used as biometric features. A hidden Markov model and a support vector machine are proposed as verifiers. A similar equal error We of 0.094 is reached by both classifiers with our preliminary database consisting of 8 samples of 20 people's hands. | URI: | http://hdl.handle.net/10553/44100 | ISSN: | 0885-8985 | DOI: | 10.1109/MAES.2006.1662005 | Fuente: | Ieee Aerospace And Electronic Systems Magazine[ISSN 0885-8985],v. 21 (6), p. 23-27 |
| Colección: | Artículos |
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