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A Scale-Space Approach to Face Recognition from Profiles

  • Zdravko Lipoščak
  • Sven Loncaric
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 1689)

Abstract

A method for face recognition using profile images based on the scale-space filtering is presented in this paper. A grey-level image of profile is thresholded to produce a binary, black and white image, the black corresponding to face region. A pre-processing step then extracts the outline curve of the front portion of the silhouette that bounds the face image. From this curve, a set of twelve fiducial marks is automatically identified using scale- space filtering with varying the scale parameter. A set of twenty-one feature characteristics is derived from these fiducial marks. After normalising the feature characteristics using two selected fiducial marks, the Euclidean distance measure is used for measuring the similarity of the feature vectors derived from the outline profiles. Experiments were performed on a total of 150 profiles of thirty persons. Experimental results are presented and discussed. Finally, recognition rates and conclusions are given.

Keywords

Face Recognition Profile Line Fiducial Mark Profile Image Fiducial Point 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1999

Authors and Affiliations

  • Zdravko Lipoščak
    • 1
  • Sven Loncaric
    • 1
  1. 1.Faculty of Electical Engineering and Computing Department of Electronic Systems and Information ProcessingUniversity of ZagrebZagrebCroatia

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