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Enhancement of the Adaptive Shape Variants Average Values by Using Eight Movement Directions for Multi-Features Detection of Facial Sketch
Arif Muntasa1, Mochammad Kautsar Shopan1, Mauridhi Hery Purnomo2 &
Kondo Kunio3
1Informatics Engineering Department, Trunojoyo University,
Kamal 16912, East Java, Indonesia
2Electrical Eng. Department, Institut Teknologi Sepuluh November,
Surabaya 60111, Indonesia
3MTC Laboratory, Tokyo University Technology, Katakuramachi, Hachioji-shi,
Tokyo 192-0982, Japan
Email: arifmuntasa@trunojoyo.ac.id
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%.
Keywords: control of the shape movement; enhancement of the adaptive shape variants average values; eight movement directions; facial sketch multi features.
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