Papers by Indri Septadepi
Development of face recognition methods afford capable method to recognizing face with expression... more Development of face recognition methods afford capable method to recognizing face with expression, pose, noise variation and changes caused by illumination effects. In kind among others is eigenface method based on the Karhunen-Loeve expansion in pattern recognition, in other words the principal component analysis (PCA). Eigenface method reduce the N-dimension of face images to feature space M-dimension. Vector whole face images and facial component region saved on database. there are 6 component region that is forehead, eyes, nose, mouth, left side and right side. Face division is conducted when image saved on database and face recognition process. Each region is used to input eigenface process to get its feature space. Testing by considering characteristic of each facial component region gives better contribution than reference to characteristic whole face only. Even eigenface method gives succesfull recognition rate with adds effect as noise speckle, motion and illumination.
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Papers by Indri Septadepi