Shape Adaptation with application to Fingerprint Image Enhancement

Authors

  • Hiba Shahid
  • Mohammed Asmutallah Khan
  • Noura Al Gothmi
  • Samar Samir Abdulate

Abstract

Fingerprint Image Enhancement can be seen as a scale-space problem. Dense finger print images could sufficiently be analyzed by decomposing each division of image into a set of simpler images at different scales. This purpose can be achieved by the use of appropriate scale space operators. Once image is decomposed, it can be addressed by employing an explicit shape adaptation algorithm as proposed by Almansa and Lindeberg. The whole process has two phases. One has to do with selection of scale for given fingerprint image. the other has to do with adaptation of the local features. However, these two processes need to be optimized jointly. The report deals with the detail of this whole process along with objective results.

Downloads

Published

2019-12-19

Issue

Section

Articles