000			02018nam a2200265 a 4500
001			vtls000025609
003			KUKTEM
005			20251114204416.0
008			080318t2007 my f m 000 0 eng|d
020			_aTHE0007061(Local)
039		9	_a201906131027 _bhanafiah _c201107132238 _dVLOAD _c200908141419 _dVLOAD _c200908141351 _dVLOAD _y200803181548 _zkam
040			_aUMP
090			_aTK7882.P3 S93 2007 rs Thesis
100	0		_aSy Mohd Syathir Sy Ali Zainol Abidin
245	1	0	_aIntelligent fingerprint recognition system / _cSy Mohd Syathir Bin Sy Ali Zainol Abidin
246	3		_aIntelligent fingerprint recognition system _h[electronic resource]
260			_aKuantan, Pahang : _bUMP, _c2007
300			_a79 p. : _bill. (some col.) ; _c30 cm. + _e1 computer disc
502			_aProject paper (Bachelor of Elecrical Engineering (Power systems)) -- Universiti Malaysia Pahang - 2007
520	1		_aThe 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	_aNeural networks (Computer science)
650		0	_aFingerprints _xIdentification _xData processing
650		0	_aPattern recognition systems
999			_aVIRTUA40 _c1531 _d1537
999			_aVTLSSORT0080*0200*0400*0900*1000*2450*2460*2600*3000*5020*5200*6502*6500*6501*9992