GRILLING ON CONTACT-LESS DECTYLOGRAM MATCHING AND MASQUERADE DETECTION IN CRIME ANALYSIS USING DATA MINING
Soundhariya V
, DhanaPriya S , Jenifer M , Suganya V
Index Terms: Fingerprints, Masquerade Detection, Minutiae Matching Method
ABSTRACT The paper aims at identifying the persons who involved in criminal activities, using their fingerprint. Fingerprint of one person never match with one another. According to this theory, the paper has been urbanized. Other personal uniqueness can change but fingerprints do not. In earlier civilization, branding was used to spot the criminal for what he was. In contact-less dactylogram matching and masquerade detection in crime analysis using data mining, the fingerprints and the details about the accused person are stored including their personal details. These details are stored in the same form, how records of criminals are maintained by the police department or detective agent. The obtained fingerprint is primarily loaded in the system by the help of scanners. The print which is obtained is not clear; it undergoes several image processing techniques to get a pure black and white image. The fingerprint identification software normally does not use these types of Minutiae Matching method what we use in this paper. The reason is they use the formula methods for finding the complete fingerprint. That traces all the lines in the fingerprint and matches it with the same kind of traced fingerprint. In this paper some special features like wig, mustache, beard, and spectacle are added to the face using face masking to find the criminal by advanced method also has been developed.
"GRILLING ON CONTACT-LESS DECTYLOGRAM MATCHING AND MASQUERADE DETECTION IN CRIME ANALYSIS USING DATA MINING ", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.4, Issue 3, page no.382 - 387, March-2019, Available :https://ijsdr.org/papers/IJSDR1903066.pdf
Volume 4
Issue 3,
March-2019
Pages : 382 - 387
Paper Reg. ID: IJSDR_190207
Published Paper Id: IJSDR1903066
Downloads: 000347168
Research Area: Biological Science
Country: Coimbatore , Tamil Nadu , India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
