Eye detection / (Record no. 2894)

MARC details
000 -LEADER
fixed length control field 02488nam a2200265 a 4500
001 - CONTROL NUMBER
control field vtls000054922
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204504.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 110720t2009 my a f m 000 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0007050(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201906131010
Level of effort used to assign nonsubject heading access points hanafiah
-- 201107201236
-- Fida
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 A86 2009 rs Bc.
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Nurul Asmira Ahmad Agin
245 10 - TITLE STATEMENT
Title Eye detection /
Statement of responsibility, etc. Nurul Asmira Ahmad Agin
246 3# - VARYING FORM OF TITLE
Title proper/short title Eye detection
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 x, 84 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. 66
520 3# - SUMMARY, ETC.
Summary, etc. Eye detection is a process where the position of the eyes is extracted from the face images. Eye detection is one of the applications in image processing. This project is important in human identification and it can improve today’s identification technique that only involves the fingerprint to identify people. This eye detection is applicable in security system and drowsiness detection. This technology is still new and only few systems are applying this system as their security system. The most crucial part in eye detection system is to identify the eye location. This system is focus on four major parts of preprocessing phase which are image enhancement using median filtering, threshold process, feature extraction and the face and eye detection. This system used an offline face image database. The frontal face image is fed to the system which threshold the image to convert the image into binary image. This process produced an enhanced image after the filtering process. After these preprocessing, feature extraction process is performed to produces the features of the binary image. The face region is determined using rectangular function in MATLAB to limit the range of image to be process and to reduce the noise. Next, the eyes are detected using the morphology technique. A dilation technique is applied to build the square using the structuring element. The eye is view in a square region. Finally, the graphical user interfaces is designed to display the output 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 A86 2009 rs Bc. 0000058290 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 5345 | TK7882.B56 A86 2009 rs Bc. 0000058291 04/09/2019 1 04/09/2019 Final Year Report

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