Detection of Gender Using Digital Forensic
|© 2020 by IJCTT Journal|
|Year of Publication : 2020|
|Authors : Aishwari Nandini Bishnu Rout, Shivali Pandit , Harshada Patil , Prof VijayKumar Patil|
|DOI : 10.14445/22312803/IJCTT-V68I3P102|
How to Cite?
Aishwari Nandini Bishnu Rout, Shivali Pandit , Harshada Patil , Prof VijayKumar Patil, "Detection of Gender Using Digital Forensic," International Journal of Computer Trends and Technology, vol. 68, no. 3, pp. 7-13, 2020. Crossref, 10.14445/22312803/IJCTT-V68I3P102
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 Pre-processing, 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.
CNN Classifier, Dactylography, Digital Forensic, Fingerprints, Image Processing, Minutiae Features.
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