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• W1556452369 abstract "Abstract – Template matching is one of the simplest methods used for eyes and mouth detection. However, it can be modified and extended to become a powerful tool. Since the patch itself plays a significant role in optimizing detection performance, a study on the influence of patch size and shape is carried out. The optimum patch size and shape is determined using the proposed method. Usually, template matching is also combined with other methods in order to improve detection accuracy. Thus, in this paper, the effectiveness of two image processing methods i.e. grayscale and Haar wavelet transform, when used with template matching are analyzed. Keywords – template matching, eyes and mouth detection, patch size and shape I. I NTRODUCTION Since each human faces are unique, combinations of face features can help us distinguishing their identities and expressions. Thus, the purpose of this paper is to detect the location of the facial feature, specifically eyes and mouth, in a face region. Eyes and mouth are emphasized because these two features are the most notable recognition feature in a face, and they provide very important information that can be used for face recognition [1],[2]. Normally, by looking at humans’ eyes alone, we can identify them correctly, given that we are familiar with them. Face feature detection is regarded as the crucial first step towards facial recognition and facial expression system. Hence, it can be utilized in different type of real-time application such as biometrics, video surveillance, human-machine interaction system, drowsy driver detection system [3], audio-visual speech processing [4], image retrieval (for automated process to image labeling) [5], visual reconstruction surgery [6] and etc. There are lots of different approaches used by the researchers to detect eyes and mouth. However, in this paper, template matching method is applied to search for the location of the targeted object (i.e. eyes and mouth) in static images. Even though this method is simple, it can be modified to make it more robust and flexible. To modify it, two different features namely grayscale and Haar Wavelet are used with template matching. Thus, a system to evaluate the performance of both methods is developed. Also, since patch size is imperative in optimizing detection performance, suitable patch is determined by testing two different patch shapes (square and rectangular), and reducing the patch size gradually. The paper is organized as follows: Section 2 briefly describes the existing template matching method, Section 3 gives full picture of the proposed method, and Section 4 explains the template matching process in details. Result of the study conducted is then shown in Section 5. In Section 6, the result are analyzed and discussed thoroughly. Finally, it ended up with conclusion in Section 7. II. E" @default.
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• W1556452369 date "2010-07-10" @default.
• W1556452369 modified "2023-09-27" @default.
• W1556452369 title "A Study on the Effectiveness of Different Patch Size and Shape for Eyes and Mouth Detection" @default.
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