id: 05935959
dt: a
an: 05935959
au: Choraś, Michał; Kozik, Rafał
ti: Knuckle recognition for human identification.
so: Burduk, Robert (ed.) et al., Computer recognition systems 4. Berlin:
    Springer (ISBN 978-3-642-20319-0/pbk; 978-3-642-20320-6/ebook).
    Advances in Intelligent and Soft Computing 95, 61-70 (2011).
py: 2011
pu: Berlin: Springer
la: EN
cc: 
ut: 
ci: 
li: doi:10.1007/978-3-642-20320-6_7
ab: Summary: This paper is the continuation of our previous work - hereby we
    report new results proving the effectiveness of our knuckle recognition
    method based on texture features. We use Probabilistic Hough Transform
    and SURF features as well as the 3-step classification methodology.
    Hereby we present promising results achieved for recently published
    PolyU knuckle database.
rv: