Human identification has now been a social liability due to
frequent terror threats and corrupt bureaucratic practices,
especially in rural countries like India. It has been surprisingly
observed that fingerprint quality is poor as compared
with finger knuckle quality of rural users as they exist on
the outer hand side. In this paper, we are proposing a novel
finger-knuckle-print based identification system. Initially,
finger knuckle image is preprocessed using proposed local
and adaptive image transformations. Then, finger knuckle
image matching has been performed using multi-scale Deep-
Matching technique. Finally, score level fusion rule has been
employed to achieve competitive performance over public
FKP database.