SNIC
SUPR
SNIC SUPR
Image enhancement and classification
Dnr:

SNIC 2017/5-56

Type:

SNAC Small

Principal Investigator:

Josef Bigun

Affiliation:

Högskolan i Halmstad

Start Date:

2017-10-30

End Date:

2018-11-01

Primary Classification:

20205: Signal Processing

Webpage:

Allocation

Abstract

The primary goal of the project is to create compact measurement sets useful to multiple applications demanding automatic image enhancement and/or classification. Our test bed is biometric identification. It can be mono-modal, e.g. face images, lip-movements, fingerprints, and speech, or multi-modal e.g. any combination of simple modalities.