Far-Field People Identification for Family Members Using Height and Facial Features
| Autor: | Wen-chi Wang, 王文祺 |
|---|---|
| Rok vydání: | 2009 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 The development of biometric technology tends to be more and more maturative, therefore the ever-increasing applications for security have become more accessible to people. It is usually to identify a person with iris, fingerprints, voice and face in the movies. Now, most of the recognition systems are focused on short-distance applications by the characteristic restriction of biological features. Hence, it may be considered that if there is any possibility to extend the application field. In far-field conditions, the recognition rate would be decreased because the biological features get more and more blurred. It is possible to enhance recognition rate by combining a far-field biological features such as height in a limited application environment. This thesis uses two biological features to develop identification algorithms. The first biological feature used in this thesis is face and it is done by FLD (Fisher Linear Discriminant) algorithm. The FLD is a famous algorithm for face recognition and is composed by two components. The first component of the FLD algorithm is using PCA (Principle Component Analysis) to reduce the dimension of an image and to reduce a computational complexity. LDA (Linear Discriminant Analysis) is the second part of FLD which is used to extract the features of image. After LDA, it can decrease the influence factor of recognition rate caused by different lightings and expressions. The second biological feature is height. The height measurement algorithm is using the single-view metrology when considering a purpose of low cost and low computational complexity. The first step of the algorithm is to process the camera distortion. The second is to set the known reference point of height in the environment. The height of objects will be calculated by using this reference point. This system will calculate both a long distance feature (height) and a short distance feature (face), and the interaction of the two features can improve the disadvantage caused by the blurred features. Hence the recognition rate will be increased. In this thesis, The experimental results show that the recognition rate in long distance environment can be improved by the proposed system. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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