MARC details
| 000 -LEADER |
|---|
| fixed length control field |
03019nam a2200265 a 4500 |
| 001 - CONTROL NUMBER |
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| control field |
vtls000054715 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20251114204449.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
110712t2010 my a f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
THE0007054(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
|---|
| Level of rules in bibliographic description |
201906131017 |
| Level of effort used to assign nonsubject heading access points |
hanafiah |
| Level of effort used to assign subject headings |
201107140059 |
| Level of effort used to assign classification |
VLOAD |
| -- |
201107121415 |
| -- |
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 Z37 2010 rs Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Nurul Zarina Md Isa |
| 245 10 - TITLE STATEMENT |
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| Title |
Gender recognition based on facial image extraction / |
| Statement of responsibility, etc. |
Nurul Zarina Md Isa |
| 246 3# - VARYING FORM OF TITLE |
|---|
| Title proper/short title |
Gender recognition based on facial image 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. |
2010 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xvi, 66 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 - 2010 |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc. note |
Includes bibliographical references |
| 520 3# - SUMMARY, ETC. |
|---|
| Summary, etc. |
In principle, to combine face detection and gender classification methods may seem simple. However, this process is more complex than it appears because requires many aspects for consideration. The gender classification has attracted much attention in psychological literature, relatively few machine vision methods have been proposed. However it has been extensively studied in the context of surveillance applications and biometrics. This project is mainly concern with offline gender classification using purely image processing technique which using a database that was included in the system. The way of doing this is by extracting the differences between male and female facial features. Obviously the classification base on a single feature is not adequate since humans share many facial properties even within different gender group. So multilayer processing is needed. This project is working as expected based on the scope and objective of project. Although not many varieties of facial images have been considered like colored hair the basic techniques should be just the same. For the system classification, Template Matching Technique is used to match image with the database image. The system attempts are made to capture the most appropriate representation of face images as a whole and exploit the statistical regularities of pixel intensity variations. When attempting recognition, the unclassified image is compared with all the database images, returning a vector of matching score. The unknown person is then classified as the one giving the highest cumulative score. This project will be build using the MATLAB software. Overall, the project can be used and developed for various purposes, particularly to expedite the process of searching the database. The refinement of this project in other hand can lead to more accurate and reliable result by considering other facial properties like eyes, nose and eyebrows |
| 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) |