Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/46145
Título: LPIDB v1.0 - Latent palmprint identification database
Autores/as: Morales, Aythami
Medina-Perez, Miguel A.
Ferrer, Miguel A. 
Garcia-Borroto, Milton
Robles, Leopoldo Altamirano
Clasificación UNESCO: 3307 Tecnología electrónica
Palabras clave: Fingerprint recognition
Palmprint recognition
Feature extraction
Forensics
Image matching
Fecha de publicación: 2014
Conferencia: 2nd IEEE/IAPR International Joint Conference on Biometrics, IJCB 2014 
Resumen: This paper presents a new public available database for latent palmprint identification. Latent palmprint identification is an important research area which includes scientific challenges as well as social interest. Latent palmprints appear frequently in criminal investigations so developing accurate identification systems is critical in solving these investigations. Latent palmprint identification includes several pattern recognition challenges such as matching, feature extraction, and image processing. The lack of public latent palmprint databases has limited advances in scientific state-of-the-art researches. The database presented in this paper comprises 380 latent palmprints from 100 palms acquired under realistic conditions. The database includes the minutiae (position and orientation) taken manually and automatically. Additionally new research opportunities based on this database are presented as well as the benchmarks obtained with different publicly available minutiae extractors and matchers. As an example of the possibilities of the database a comparison between automatic and manual minutiae extraction is included.
URI: http://hdl.handle.net/10553/46145
ISBN: 9781479935840
DOI: 10.1109/BTAS.2014.6996268
Fuente: IJCB 2014 - 2014 IEEE/IAPR International Joint Conference on Biometrics (6996268)
Colección:Actas de congresos
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