Minutiae data synthesis for fingerprint identification applications

K. A. Toh, W. Y. Yau, X. Jiang, T. P. Chen, J. Lu, E. Lim

Research output: Contribution to conferencePaper

23 Citations (Scopus)

Abstract

In this paper, we address the false rejection problem due to small solid state sensor area available for fingerprint image capture. We propose a minutiae data synthesis approach to circumvent this problem. Main advantages of this approach over existing image mosaicing approach include low memory storage requirement and low computational complexity. Moreover, possible matching search overhead due to data redundancy could be reduced. Extensive experiments were conducted to determine the best transformation suitable for minutiae alignment. Among the three transformations presented, affine transformation is found to be most suited for minutiae alignment. We demonstrate the idea of synthesis with an example using physical fingerprint images. The proposed synthesis system is also shown to reduce the number of false rejects caused by the use of different fingerprint regions for matching.

Original languageEnglish
Pages262-265
Number of pages4
Publication statusPublished - 2001 Jan 1
EventIEEE International Conference on Image Processing (ICIP) - Thessaloniki, Greece
Duration: 2001 Oct 72001 Oct 10

Other

OtherIEEE International Conference on Image Processing (ICIP)
CountryGreece
CityThessaloniki
Period01/10/701/10/10

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All Science Journal Classification (ASJC) codes

  • Hardware and Architecture
  • Computer Vision and Pattern Recognition
  • Electrical and Electronic Engineering

Cite this

Toh, K. A., Yau, W. Y., Jiang, X., Chen, T. P., Lu, J., & Lim, E. (2001). Minutiae data synthesis for fingerprint identification applications. 262-265. Paper presented at IEEE International Conference on Image Processing (ICIP), Thessaloniki, Greece.