02078nam a2200265 a 4500 vtls000055100 KUKTEM 20251114204505.0 110726t2009 my a f m 000 0 eng d THE0008085(Local) 201906191135 amy2 201906131012 hanafiah 201107261607 ida 201107261606 ida UMP TK7882.B56 F33 2009 rs Bc. Muhammad Marzuq Mohd Sharip Facial feature extraction / Muhammad Marzuq Mohd Sharip Facial feature extraction [computer file] Kuantan, Pahang : UMP, 2009 xiv, 50 p. : ill. (some col.) ; 30 cm. + 1 computer disc Project paper (Bachelor of Electrical Engineering (Control and Instrumentation)) -- Universiti Malaysia Pahang - 2009 Bibliography : p.[40]- 46 This project presents the facial feature extraction system and face recognition system. The test image that used for this project contain various type. There are ten different images of each of 40 disntinct subjects. For some subjects, the images were taken at different times, varying the lighting, facial expressions; open or closed eyes, smiling or not smiling, and facial details; glasses or no glasses. All the images were taken against a dark homogeneous background with the subjects in an upright, frontal position with tolerance for some side movement. For the facial feature extraction system, it is more focus on eye extraction. The eye will extracted from the face by finding the centroid of the eye region using threshold technique. For the recognition system, Principle Component Analysis (PCA) is used to match the test image with the database image. The system will find which database image has a maximum percentage based on similarity of the pattern of the image Biometric identification Human face recognition (Computer science) 0 0 0 1 20000 20000 2019-09-04 0 TK7882.B56 F33 2009 rs Bc. 0000058220 2019-09-04 00:00:00 1 2019-09-04 PSM 0 0 0 1 20000 20000 2019-09-04 0 CD 5310 | TK7882.B56 F33 2009 rs Bc. 0000058221 2019-09-04 00:00:00 1 2019-09-04 PSM VIRTUA40 2934 2940 VTLSSORT0010*0030*0050*0080*0200*0390*0400*0900*1000*2450*2460*2600*3000*5020*5040*5200*6500*6501*9990*9992