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A Comprehensive Method for Fingerprint Classification Based on Gabor Filters and Machine Learning.

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Title: A Comprehensive Method for Fingerprint Classification Based on Gabor Filters and Machine Learning.
Authors: Jasem, Farah Maath1, farahmaath86@uoanbar.edu.iq, Ahmed, Ismail Taha1, Hammad, Baraa Tareq1
Source: International Journal of Safety & Security Engineering; Dec2024, Vol. 14 Issue 6, p1775-1782, 8p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 182489226
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: A Comprehensive Method for Fingerprint Classification Based on Gabor Filters and Machine Learning.
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  Data: <searchLink fieldCode="JN" term="%22International+Journal+of+Safety+%26+Security+Engineering%22">International Journal of Safety & Security Engineering</searchLink>; Dec2024, Vol. 14 Issue 6, p1775-1782, 8p
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RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.18280/ijsse.140612
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 8
        StartPage: 1775
    Titles:
      – TitleFull: A Comprehensive Method for Fingerprint Classification Based on Gabor Filters and Machine Learning.
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            NameFull: Jasem, Farah Maath
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            NameFull: Ahmed, Ismail Taha
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            NameFull: Hammad, Baraa Tareq
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          Dates:
            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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              Value: 14
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              Value: 6
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            – TitleFull: International Journal of Safety & Security Engineering
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