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Volumn , Issue , 2010, Pages 401-405

Improving features extraction for supervised invoice classification

Author keywords

Intelligent data analysis; Machine learning and document image classification

Indexed keywords


EID: 77954607455     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.2316/p.2010.674-040     Document Type: Conference Paper
Times cited : (7)

References (12)
  • 2
    • 34249795774 scopus 로고    scopus 로고
    • A survey of document image classification: Problem statement, classifier architecture and performance evaluation
    • June
    • N. Chen and D. Blostein, "A survey of document image classification: problem statement, classifier architecture and performance evaluation," International Journal on Document Analysis and Recognition, vol.10, pp. 1-16, June 2007.
    • (2007) International Journal on Document Analysis and Recognition , vol.10 , pp. 1-16
    • Chen, N.1    Blostein, D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.