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Volumn 49, Issue 3, 2004, Pages 500-504

Estimation of bullet striation similarity using neural networks

Author keywords

Bullet identification; Forensic science; Neural networks; Similarity; Striation

Indexed keywords

ARTICLE; ARTIFICIAL NEURAL NETWORK; BALLISTICS; BULLET; DATA ANALYSIS; DATA BASE; FORENSIC SCIENCE; GUNSHOT INJURY; IMAGE ANALYSIS; LEARNING; MICROCOMPUTER; PATTERN RECOGNITION; PRIORITY JOURNAL; SCORING SYSTEM; SIGNAL PROCESSING; VALIDATION PROCESS;

EID: 2442679135     PISSN: 00221198     EISSN: None     Source Type: Journal    
DOI: 10.1520/jfs2002361     Document Type: Article
Times cited : (9)

References (5)
  • 2
    • 0026598143 scopus 로고
    • Neural networks in forensic science
    • Kingston C, Crim D. Neural networks in forensic science. J Forensic Sci 1992;37(1):252-64.
    • (1992) J Forensic Sci , vol.37 , Issue.1 , pp. 252-264
    • Kingston, C.1    Crim, D.2
  • 4
    • 0028672225 scopus 로고
    • A new approach to automatic comparison of striation marks
    • Geradts Z, Keijzer J, Keereweer I. A new approach to automatic comparison of striation marks. J Forensic Sci 1994;39(4):974-80.
    • (1994) J Forensic Sci , vol.39 , Issue.4 , pp. 974-980
    • Geradts, Z.1    Keijzer, J.2    Keereweer, I.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.