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  <titleInfo>
    <title>Intelligent fingerprint recognition system</title>
  </titleInfo>
  <titleInfo type="alternative">
    <title>Intelligent fingerprint recognition system</title>
  </titleInfo>
  <name type="personal">
    <namePart>Sy Mohd Syathir Sy Ali Zainol Abidin</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <typeOfResource>text</typeOfResource>
  <genre authority="marc">theses</genre>
  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">my</placeTerm>
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    <place>
      <placeTerm type="text">Kuantan, Pahang</placeTerm>
    </place>
    <publisher>UMP</publisher>
    <dateIssued>2007</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
  </language>
  <physicalDescription>
    <form authority="marcform">print</form>
    <form authority="gmd">electronic resource</form>
    <extent>79 p. : ill. (some col.) ; 30 cm. + 1 computer disc</extent>
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  <abstract>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</abstract>
  <targetAudience authority="marctarget">specialized</targetAudience>
  <note type="statement of responsibility">Sy Mohd Syathir Bin Sy Ali Zainol Abidin</note>
  <note>Project paper (Bachelor of Elecrical Engineering (Power systems)) -- Universiti Malaysia Pahang - 2007</note>
  <subject authority="lcsh">
    <topic>Neural networks (Computer science)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Fingerprints</topic>
    <topic>Identification</topic>
    <topic>Data processing</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Pattern recognition systems</topic>
  </subject>
  <identifier type="isbn">THE0007061(Local)</identifier>
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    <recordCreationDate encoding="marc">080318</recordCreationDate>
    <recordChangeDate encoding="iso8601">20251114204416.0</recordChangeDate>
    <recordIdentifier source="KUKTEM">vtls000025609</recordIdentifier>
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