Mosaicing touchless and mirror-reflected fingerprint images

Heeseung Choi, Kyoungtaek Choi, Jaihie Kim

Research output: Contribution to journalArticlepeer-review

43 Citations (Scopus)


Touchless fingerprint sensing technologies have been explored to solve problems in touch-based sensing techniques because they do not require any contact between a sensor and a finger. While they can solve problems caused by the contact of a finger, other difficulties emerge such as a view difference problem and a limited usable area due to perspective distortion. In order to overcome these difficulties, we propose a new touchless fingerprint sensing device capturing three different views at one time and a method for mosaicing these view-different images. The device is composed of a single camera and two planar mirrors reflecting side views of a finger, and it is an alternative to expensive multiple-camera-based systems. The mosaic method can composite the multiple view images by using the thin plate spline model to expand the usable area of a fingerprint image. In particular, to reduce the affect of perspective distortion, we select the regions in each view by minimizing the ridge interval variations in a final mosaiced image. Results are promising as our experiments show that mosaiced images offer 29% more true minutiae and 28% larger good quality area than one-view, unmosaiced images. Also, when the side-view images are matched to the mosaiced images, it gives more matched minutiae than matching with one-view frontal images. We expect that the proposed method can reduce the view difference problem and increase the usable area of a touchless fingerprint image. Furthermore, the proposed method can be applied to other biometric applications requiring a large template for recognition.

Original languageEnglish
Article number5378608
Pages (from-to)52-61
Number of pages10
JournalIEEE Transactions on Information Forensics and Security
Issue number1
Publication statusPublished - 2010 Mar

Bibliographical note

Funding Information:
Manuscript received August 10, 2009; accepted November 17, 2009. First published January 12, 2010; current version published February 12, 2010. This work was supported by the Korea Science and Engineering Foundation (KOSEF) through the Biometrics Engineering Research Center at Yonsei University [R112002105070010(2009)]. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Davide Maltoni.

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Computer Networks and Communications


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