Deformable model is one of interest topic in biometrics. The deformable model applications have been used to detect objects included facial sketch feature images. Many methods have been discovered and developed to detect objects of deformable. However, any method can solve a problem, but raises other issues. Popular method to solve the deformable object is Active Shape Model. It is the most used to detect facial feature, but it has weakness. This method is very depended on the shape initialization. If the movement direction is not covered by training sets, then the landmark movement will be move to the undesirable direction. In this research, we proposed method to create a new modeling of the landmark movement based on the previous movement results. Four algorithms are used to improve the landmark movement when the detection process. The experimental results show that our proposed method produces the average of detection accuracies more than 90% for all scenarios.

Original languageEnglish
Pages (from-to)497-511
Number of pages15
JournalJournal of Theoretical and Applied Information Technology
Issue number2
Publication statusPublished - Apr 2013


  • Detection
  • New Model
  • Shape Model
  • The Previous Movement


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