  In the previous decade, there has been a considerable rise in the usage of
smartphones.Due to exorbitant advancement in technology, computational speed
and quality of image capturing has increased considerably. With an increase in
the need for remote fingerprint verification, smartphones can be used as a
powerful alternative for fingerprint authentication instead of conventional
optical sensors. In this research, wepropose a technique to capture
finger-images from the smartphones and pre-process them in such a way that it
can be easily matched with the optical sensor images.Effective finger-image
capturing, image enhancement, fingerprint pattern extraction, core point
detection and image alignment techniques have been discussed. The proposed
approach has been validated on FVC 2004 DB1 & DB2 dataset and the results show
the efficacy of the methodology proposed. The method can be deployed for
real-time commercial usage.
