Facial feature extraction / (Record no. 2934)

MARC details
000 -LEADER
fixed length control field 02078nam a2200265 a 4500
001 - CONTROL NUMBER
control field vtls000055100
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204505.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110726t2009 my a f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0008085(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201906191135
Level of effort used to assign nonsubject heading access points amy2
Level of effort used to assign subject headings 201906131012
Level of effort used to assign classification hanafiah
Level of effort used to assign subject headings 201107261607
Level of effort used to assign classification ida
-- 201107261606
-- ida
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) TK7882.B56 F33 2009 rs Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Muhammad Marzuq Mohd Sharip
245 10 - TITLE STATEMENT
Title Facial feature extraction /
Statement of responsibility, etc. Muhammad Marzuq Mohd Sharip
246 3# - VARYING FORM OF TITLE
Title proper/short title Facial feature extraction
Medium [computer file]
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Kuantan, Pahang :
Name of publisher, distributor, etc. UMP,
Date of publication, distribution, etc. 2009
300 ## - PHYSICAL DESCRIPTION
Extent xiv, 50 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 computer disc
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Electrical Engineering (Control and Instrumentation)) -- Universiti Malaysia Pahang - 2009
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Bibliography : p.[40]- 46
520 3# - SUMMARY, ETC.
Summary, etc. 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
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biometric identification
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Human face recognition (Computer science)
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Date acquired Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   TK7882.B56 F33 2009 rs Bc. 0000058220 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 5310 | TK7882.B56 F33 2009 rs Bc. 0000058221 04/09/2019 1 04/09/2019 Final Year Report

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