Verification Of Face Image System
Nowadays, there are many type of biometrics was introduce such as face, voice, fingerprint and iris pattern. Among them, Face Recognition is one of type biometric that a fascinating topic in the field of computer vision. It has gained increasing interests over the years. Face recognition seems to...
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| Format: | Monograph |
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UTeM
2009
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| Online Access: | http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000054382 http://library.utem.edu.my:8000/elmu/index.jsp?module=webopac-d&action=fullDisplayRetriever.jsp&szMaterialNo=0000054382 http://eprints.utem.edu.my/3855/1/Verification_Of_Face_Image_System_Nur_Aisyah_Binti_Abdul_Aziz_TA1650.N34_2009_-_24_Pages.pdf http://eprints.utem.edu.my/3855/2/Verification_Of_Face_Image_System_Nur_Aisyah_Binti_Abdul_Aziz_TA1650.N34_2009.pdf |
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| Summary: | Nowadays, there are many type of biometrics was introduce such as face,
voice, fingerprint and iris pattern. Among them, Face Recognition is one of type
biometric that a fascinating topic in the field of computer vision. It has gained
increasing interests over the years. Face recognition seems to be the most natural and
effective method to identify a person since it is the same as the way humans do and
there is no need to use special equipment. In face recognition, personal facial features
extraction is the key to create more robust systems. Eigenface, neural network and
fisherfaces have been proposed where each has its merits and weakness. Such
techniques, however, are highly complicated and are computational-power hungry,
making it difficult to implement them into low computational power and very costly.
Therefore, in this project a very simple yet highly reliable face recognition was
developed using Vector Quantization (VQ) Histogram method utilizing LabVIEW
8.5 and NI Vision Development. |
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