Developing an Face Retrieval System based on PCA

• Main Authors: Bo-Jun Huang, 黃柏鈞
• Other Authors: Huan-Chao Keh
• Format: Others
• Language: zh-TW
• Published: 2009
• Online Access: http://ndltd.ncl.edu.tw/handle/11987626641520703074

碩士 === 淡江大學 === 資訊工程學系資訊網路與通訊碩士班 === 97 === Over the last decade, face recognition techniques are widely used in various fields and have significant results. This paper proposes a system framework that retrieves the target image from the database according to the option of the users: whole face, eyes, nose or mouth. At the first stage, the system extracts the facial features, normalizes the scale and illumination of the feature images. From the feature images, we take advantage of the characteristic that facial features are conceived to be illumination invariant to filter the skin color then obtain the facial feature points. At the second stage, the system uses principle component analysis (PCA) and correlation of facial features to retrieve the target images from the face database. The result shows that users can find the similar face image according to their search option, and correlation of facial features can overcome the characteristic that PCA is sensitive to change in illumination.