The use of fingerprints as a biometric is both the oldest mode of computer-aided personal identification and the most-relied-on technology in use today. However, current acquisition methods have some challenging and peculiar difficulties. For higher performance fingerprint data acquisition and verification, a novel noncontact 3-D fingerprint scanner is investigated, where both the detailed 3-D and albedo information of the finger is obtained. The obtained high-resolution 3-D prints are further converted into 3-D unraveled prints, to be compatible with traditional 2-D automatic fingerprint identification systems. As a result, many limitations imposed on conventional fingerprint capture and processing can be reduced by the unobtrusiveness of this approach and the extra depth information acquired. To compare the quality and matching performances of 3-D unraveled with traditional 2-D plain fingerprints, we collect both 3-D prints and their 2-D plain counterparts. The print quality and matching performances are evaluated and analyzed by using National Institute of Standard Technology fingerprint software. Experimental results show that the 3-D unraveled print outperforms the 2-D print in both quality and matching performances.
Fingerprints are one of the most commonly used and relied-upon biometric technology. But often the captured
fingerprint image is far from ideal due to imperfect acquisition techniques that can be slow and cumbersome
to use without providing complete fingerprint information. Most of the diffculties arise due to the contact of
the fingerprint surface with the sensor platen. To overcome these diffculties we have been developing a noncontact
scanning system for acquiring a 3-D scan of a finger with suffciently high resolution which is then
converted into a 2-D rolled equivalent image. In this paper, we describe certain quantitative measures evaluating
scanner performance. Specifically, we use some image software components developed by the National Institute
of Standards and Technology, to derive our performance metrics. Out of the eleven identified metrics, three
were found to be most suitable for evaluating scanner performance. A comparison is also made between 2D
fingerprint images obtained by the traditional means and the 2D images obtained after unrolling the 3D scans
and the quality of the acquired scans is quantified using the metrics.
The use of fingerprints as a biometric is both the oldest mode of computer aided personal identification and the most relied-upon technology in use today. But current fingerprint scanning systems have some challenging and peculiar difficulties. Often skin conditions and imperfect acquisition circumstances cause the captured fingerprint image to be far from ideal. Also some of the acquisition techniques can be slow and cumbersome to use and may not provide the complete information required for reliable feature extraction and fingerprint matching. Most of the difficulties arise due to the contact of the fingerprint surface with the sensor platen. To attain a fast-capture, non-contact, fingerprint scanning technology, we are developing a scanning system that employs structured light illumination as a means for acquiring a 3-D scan of the finger with sufficiently high resolution to record ridge-level details. In this paper, we describe the postprocessing steps used for converting the acquired 3-D scan of the subject's finger into a 2-D rolled equivalent image.