Abstract

This paper aims to detect multi features of a facial sketch by using a novel approach. The detection of multi features of facial sketch has been conducted by several researchers, but they mainly considered frontal face sketches as object samples. In fact, the detection of multi features of facial sketch with certain angle is very important to assist police for describing the criminal's face, when criminal's face only appears on certain angle. Integration of the maximum line gradient value enhancement and the level set methods was implemented to detect facial features sketches with tilt angle to 15 degrees. However, these methods tend to move towards non features when there are a lot of graffiti around the shape. To overcome this weakness, the author proposes a novel approach to move the shape by adding a parameter to control the movement based on enhancement of the adaptive shape variants average values with 8 movement directions. The experimental results show that the proposed method can improve the detection accuracy up to 92.74%.

Original languageEnglish
Pages (from-to)1-20
Number of pages20
JournalITB Journal of Information and Communication Technology
Volume6 C
Issue number1
DOIs
Publication statusPublished - 2012

Keywords

  • Control of the shape movement
  • Eight movement directions
  • Enhancement of the adaptive shape variants average values
  • Facial sketch multi features

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