A graph-based framework for thermal faceprint characterization

Trabalho apresentado em evento

Fecha

2011-09-26

Registro en:

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), v. 6978 LNCS, n. PART 1, p. 169-177, 2011.

0302-9743

1611-3349

http://hdl.handle.net/11449/72694

10.1007/978-3-642-24085-0_18

2-s2.0-80052972710

6027713750942689

9039182932747194

http://repositorioslatinoamericanos.uchile.cl/handle/2250/3921736

Autor

Universidade Estadual Paulista (Unesp)

Institución

Universidade Paulista Júlio de Mesquita Filho (Brasil)

Resumen

Thermal faceprint has been paramount in the last years. Since we can handle with face recognition using images acquired in the infrared spectrum, an unique individual's signature can be obtained through the blood vessels network of the face. In this work, we propose a novel framework for thermal faceprint extraction using a collection of graph-based techniques, which were never used to this task up to date. A robust method of thermal face segmentation is also presented. The experiments, which were conducted over the UND Collection C dataset, have showed promising results. © 2011 Springer-Verlag.