Article
State of the Art of Fingerprint Indexing Algorithms
Fecha
2011-09-10Registro en:
Revista Computación y Sistemas; Vol. 15 No. 1
1405-5546
Autor
Muñoz Briseño, Alfredo
Gago Alonso, Andrés
Hernández Palancar, José
Institución
Resumen
Abstract. Due to the large size that fingerprint
databases generally have, the reduction of the search
space is indispensable. In the resolution of this problem,
indexing algorithms have a fundamental role. In the
literature, there are several proposals that make use of
different features to characterize fingerprints. In
addition, a wide variety of recovery methods are
reported. This paper concisely describes the indexing
algorithms that have reported better results so far and
makes a comparison between these, based on
experiments in well known databases. Finally, a
classification of the indexing algorithms is proposed,
based on some general characteristics.