Real time face detection system / (Record no. 1233)

MARC details
000 -LEADER
fixed length control field 01916nam a2200265 a 4500
001 - CONTROL NUMBER
control field vtls000040252
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204405.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 090714t2009 my a f m 000 0 eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0006672(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201905171132
Level of effort used to assign nonsubject heading access points amirul
Level of effort used to assign subject headings 201107132152
Level of effort used to assign classification VLOAD
Level of effort used to assign subject headings 200911091644
Level of effort used to assign classification kam
Level of effort used to assign subject headings 200908141647
Level of effort used to assign classification VLOAD
040 ## - CATALOGING SOURCE
Original cataloging agency UMP
Transcribing agency UMP
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) TK788.2 B56 A49 2009 rs Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Amy Safrina Mohd Ali
245 10 - TITLE STATEMENT
Title Real time face detection system /
Statement of responsibility, etc. Amy Safrina Mohd Ali
246 3# - VARYING FORM OF TITLE
Title proper/short title Real time face detection system
Medium [electronic resource]
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 57 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 (Electronics)) -- Universiti Malaysia Pahang - 2009
520 3# - SUMMARY, ETC.
Summary, etc. 䚐ÔﴈÔ face detection system is a computer application for automatically detecting a human face from digital image or video frame from a video source. This project is used web camera to capture the image in real time. This face detection system used Haar Classifier method to detect face and extract human face. Haar Classifier technique can detect human face very face and can achieve high detection accuracy. This system is build using Visual Studio C++ 8 edition and Opencv to setup the interface between web camera and computer. This system also used Graphical User Interface (GUI) to design client window. Besides that this system used Graphic Device Interface (GDI) library to select the interest region. This system can detect the face image and can automatically save the image. This system can be applied in the banking system to reduce the number of forgery.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Human face recognition (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Image processing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Biometric identification
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Thesis
Holdings
Withdrawn status Lost status Source of classification or shelving scheme 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 Library of Congress Classification   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   TK788.2 B56 A49 2009 rs Bc. 0000037854 04/09/2019 1 04/09/2019 Final Year Report
  Not lost Library of Congress Classification   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 3302 | TK788.2 B56 A49 2009 rs Bc. 0000037855 04/09/2019 1 04/09/2019 Final Year Report

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