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

fYear

2011

fDate

4-6 Sept. 2011

Firstpage

678

Lastpage

683

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Image and Signal Processing and Analysis (ISPA), 2011 7th International Symposium on

Conference_Location

Dubrovnik

ISSN

1845-5921

Print_ISBN

978-1-4577-0841-1

Electronic_ISBN

1845-5921

Type

conf

Filename

6046689

Link To Document

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1845903