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  • 标题:Detection of Gender Using Digital Forensic
  • 本地全文:下载
  • 作者:Aishwari Nandini Bishnu Rout ; Shivali Pandit ; Harshada Patil
  • 期刊名称:International Journal of Computer Trends and Technology
  • 电子版ISSN:2231-2803
  • 出版年度:2020
  • 卷号:68
  • 期号:3
  • 页码:7-13
  • DOI:10.14445/22312803/IJCTT-V68I3P102
  • 出版社:Seventh Sense Research Group
  • 摘要:A fingerprint is defined as a pattern present in between tips and joints of a finger. Fingerprint stays the same from the day of a person’s birth to the day they die. Fingerprints are found near crime sites, on weapons, in excavated things etc. Gender can be estimated on basis of features like ridge density patterns, some unique characters present in fingerprint and with the help of fingerprint patterns like loops, whorls, arches. Unknown fingerprint’s gender can be recognized. In the proposed system, different algorithms like Preprocessing, Image binarization, Thinning are used for feature extraction. This study proposes, a trained model using image classifier of fingerprint instead of traditional analysis. Our proposed System aims to determine gender using fingerprints. For an unknown fingerprint, different minutiae feature that are extracted basis on this decision can be taken whether it is male or female.
  • 关键词:CNN Classifier; Dactylography; Digital Forensic; Fingerprints; Image Processing; Minutiae Features.
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