Verification Of Face Image System

Nur Aisyah , Abdul Aziz (2009) Verification Of Face Image System. Project Report. UTeM, Melaka,Malaysia. (Submitted)

	PDF (24 Pages) Verification_Of_Face_Image_System_Nur_Aisyah_Binti_Abdul_Aziz_TA1650.N34_2009_-_24_Pages.pdf - Submitted Version Download (1MB)
	PDF (Full Text) Verification_Of_Face_Image_System_Nur_Aisyah_Binti_Abdul_Aziz_TA1650.N34_2009.pdf - Submitted Version Restricted to Registered users only Download (4MB)

Abstract

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.

Actions (login required)

View Item