Abstract
Face detection is a critical task to be resolved in a variety of applications. Since faces include various expressions it becomes a difficult task to detect the exact output. Face detection not only play a main role in personal identification but also in various fields which includes but not limited to image processing, pattern recognition, graphics and other application areas. The proposed system performs the face detection and facial components using Gabor filter. The results show accurate detection of facial components
Highlights
There is a need to detect faces to avoid fraud happening in day to day life and in bank frauds
Result and Discussion The input image used for the proposed system is depicted in Figure 2 Once the face is detected by using step by step face detector, the image results are passed into Gabor filter
The facial components that includes left eye, right eye, nose, mouth has been detected and Fiducial points has been detected for each facial components using real and imaginary parts of Gabor filter
Summary
There is a need to detect faces to avoid fraud happening in day to day life and in bank frauds. There are many techniques available to detect faces including Linear discriminant analysis, Principal component analysis, Local Binary Pattern etc These methods are having some limitation because the face image contains different lighting conditions, different poses and different expression. Due to these limitations, an accurate Facial component detection has been failed and facial recognition accuracy has been reduced. Gabor filter is widely used in many area including image processing, pattern recognition, texture analysis, edge detection, feature extraction and face detection. In that edges of facial components are detected This method provides less accuracy when testing of different poses and expressions. The various facial detection techniques were discussed including structural model, spatio-temporal analysis model, mask spoofing model, geometric based face recognition and other models provides the less accuracy. All human faces share some similar properties and it is used to construct certain features
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