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 |