000			02095nam a2200265 a 4500
001			vtls000076540
003			KUKTEM
005			20251114204606.0
008			140106t2012 my da f m 000 0 eng d
020			_aTHE0002943(Local)
039		9	_a201905140829 _bzul _y201401061121 _znabilah
040			_aUMP
090			_aTA1637 .H53 2012 rs Bc.
100	0		_aNurhidayah Ramli
245	1	0	_aSongket recognition using image processing (SRUIP) / _cNurhidayah Ramli
260			_aKuantan, Pahang : _bUMP, _c2012
300			_axv, 84 p. : _bill. ; _c30 cm. + _e1 CD-ROM
502			_aProject paper (Bachelor of Computer Science (Computer Systems and Networking)) -- Universiti Malaysia Pahang – 2012
504			_aBibliography : p. 56-60
520	3		_aIn Malaysia, songket is one of the commencements for Malay culture through their wear. Since it has been so long used, it is also describe as one of the traditional art in our country and also becomes a traditional hand woven cloth of Malay. Thus, Songket Recognition Using Image Processing (SRUIP) is developed to recognize each type of songket through image processing technique. Each type of the songket will undergoes some processes and the image will be train using neural network. The database then is used to store all data and information about each songket in database first. The purpose of SRUIP developed is to distinguish between two differences classes of the songket image; whether it comes from „songket corak jalur‟ or „songket bunga dalam‟. This system is used computer system to analyze and interprets images that correspondent to human eye and mind. The similarity of image is compared through template matching process and the data was trained using neural network. Results of the experiment showed that the detection of „songket bunga dalam‟ has higher successful rate compared to „songket corak jalur‟.
650		0	_aImage processing
650		0	_aOptical pattern recognition
650		0	_aSongket
999			_aVIRTUA40 _c4696 _d4702
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2600*3000*5020*5040*5200*6500*6501*6502*9992