Title :
Surface classification and detection of latent fingerprints: Novel approach based on surface texture parameters
Author :
Gruhn, Stefan ; Vielhauer, Claus
Author_Institution :
Dept. of Inf. & Media, Brandenburg Univ. of Appl. Sci., Brandenburg, Germany
Abstract :
The classification of surfaces has importance in the field of latent fingerprint detection in crime scene forensics because the adaptive preprocessing depends on the surface texture. This paper shows a novel approach to classify various materials with the help of surface texture parameters.
Keywords :
criminal law; fingerprint identification; forensic science; image classification; image texture; photodetectors; surface roughness; surface texture; adaptive preprocessing; chromatic white light sensor; crime scene forensics; criminalistic forensics; latent fingerprint detection; material classification; material quality control; surface appearance; surface classification; surface roughness; surface texture parameters; three-dimensional surface data; Fingerprint recognition; Materials; Rough surfaces; Surface roughness; Surface texture; Surface topography; Surface treatment; forensics; latent fingerprint; surface roughness; surface texture;
Conference_Titel :
Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on
Conference_Location :
Dubrovnik
Print_ISBN :
978-1-4577-0841-1
Electronic_ISBN :
1845-5921
