arXiv:1708.00884cs.CV
Fingerprint Extraction Using Smartphone Camera
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Abstract
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.
We were frustrated by the experience of reading machine learning papers on screens (particularly phones/tablets). There are lots of good tools for authoring HTML papers (Distill, Authorea, etc) but nothing that deals with the vast number of PDF papers that already exist. So, we…
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