Intelligent fingerprint recognition system / (Record no. 1531)

MARC details
000 -LEADER
fixed length control field 02018nam a2200265 a 4500
001 - CONTROL NUMBER
control field vtls000025609
003 - CONTROL NUMBER IDENTIFIER
control field KUKTEM
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251114204416.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 080318t2007 my f m 000 0 eng|d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number THE0007061(Local)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201906131027
Level of effort used to assign nonsubject heading access points hanafiah
Level of effort used to assign subject headings 201107132238
Level of effort used to assign classification VLOAD
Level of effort used to assign subject headings 200908141419
Level of effort used to assign classification VLOAD
Level of effort used to assign subject headings 200908141351
Level of effort used to assign classification VLOAD
-- 200803181548
-- kam
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.P3 S93 2007 rs Thesis
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name Sy Mohd Syathir Sy Ali Zainol Abidin
245 10 - TITLE STATEMENT
Title Intelligent fingerprint recognition system /
Statement of responsibility, etc. Sy Mohd Syathir Bin Sy Ali Zainol Abidin
246 3# - VARYING FORM OF TITLE
Title proper/short title Intelligent fingerprint recognition 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. 2007
300 ## - PHYSICAL DESCRIPTION
Extent 79 p. :
Other physical details ill. (some col.) ;
Dimensions 30 cm. +
Accompanying material 1 computer disc
502 ## - DISSERTATION NOTE
Dissertation note Project paper (Bachelor of Elecrical Engineering (Power systems)) -- Universiti Malaysia Pahang - 2007
520 1# - SUMMARY, ETC.
Summary, etc. The purpose of this project is to design and develop a pattern recognition system with using Artificial Neural Network (ANN) that can recognize the type of image based on the features extracted from the choose image. This system which can fully recognizing the types of the data had been add in the data storage or called as training data. The Graphic User Interface in Neural Network toolbox is used. This is the alternative way to change the common usage of the MATLAB which are use the command insert at command window. From this kind of system, we just need to insert the features data or training data. The recognition done after we insert the test data. The system will recognize whether the output is match with the training data. Then output will produce a kind of graph that describes the feature of the data which is same as the training data. -Author
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Neural networks (Computer science)
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Fingerprints
General subdivision Identification
-- Data processing
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Pattern recognition systems
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.P3 S93 2007 rs Thesis 0000029340 04/09/2019 1 04/09/2019 Final Year Report
  Not lost   Not for loan UMPLIB PEKAN UMPLIB PEKAN 04/09/2019   CD 2639 | TK7882.P3 S93 2007 rs Thesis 0000029341 04/09/2019 1 04/09/2019 Final Year Report

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