MARC details
| 000 -LEADER |
| fixed length control field |
02575nam a2200277 a 4500 |
| 001 - CONTROL NUMBER |
| control field |
vtls000054751 |
| 003 - CONTROL NUMBER IDENTIFIER |
| control field |
KUKTEM |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
| control field |
20251114204450.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
| fixed length control field |
110714t2010 my a f m 000 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
| International Standard Book Number |
THE0007049(Local) |
| 039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE] |
| Level of rules in bibliographic description |
201906131009 |
| Level of effort used to assign nonsubject heading access points |
hanafiah |
| Level of effort used to assign subject headings |
201107141255 |
| Level of effort used to assign classification |
ida |
| Level of effort used to assign subject headings |
201107141255 |
| Level of effort used to assign classification |
ida |
| -- |
201107141236 |
| -- |
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 A44 2010 rs Bc. |
| 100 0# - MAIN ENTRY--PERSONAL NAME |
| Personal name |
Alfatihah Abdullah |
| 245 10 - TITLE STATEMENT |
| Title |
Face recognition using neural network / |
| Statement of responsibility, etc. |
Alfatihah Abdullah |
| 246 3# - VARYING FORM OF TITLE |
| Title proper/short title |
Face recognition using neural network |
| 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 |
xiv, 62 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 |
Bibliography : p. 57-59 |
| 520 3# - SUMMARY, ETC. |
| Summary, etc. |
Facial recognition systems are computer-based security systems that are able to automatically detect and identify human faces. Facial recognition has gained increasing interest in the recent decade. Over the years there have been several techniques being developed to achieve high success rate of accuracy in the identification and verification of individuals for authentication in security systems. This project experiments the concept of neural network for facial recognition that can differentiate and recognize face of image. This face recognition system begins with image pre-processing and then the output image is trained using Backpropagation algorithm. Backpropagation network learns by training the inputs, calculating the error between the real output and target output, and propagates back the error to the network to modify the weights until the desired output is obtained. After training the network, the recognition system is tested to ensure that the system can recognize the pattern of each face image. The purpose of this project is to recognize face of image for the recognition analysis using Neural Network. This project is mainly concern with offline facial recognition systems using purely image processing technique. The system will find database image has a maximum percentage on similarity of the pattern of the image. This project is also to design a pattern recognition system by applying Neural Network Toolbox in MATLAB software. |
| 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) |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM |
| Topical term or geographic name entry element |
Neural networks (Computer science) |