Review on: Approaches for Finding Correlation Between Fingerprints and Footprints of a Person
Abstract
This paper analyse the most important and significant advancements in forensic science using fingerprint detection as a biometric sign for identification. Technological advancements from the dawn of the age of the computer to the beginning of the age of the internet, have all created easier and more efficient ways of criminal investigation. Police departments throughout the United States and in other countries now have ways to easily store and share information and eliminate problems that traditional paper records posed. In the case of difficulty in extracting orientation images reliably, a general purpose approach improving local image contrast is favoured. Today time with the increase in population crime increases day by day, and Police Department have over loaded work. To decrease the crime and to identify the theft and criminal, we try to make a new age safety system in which detect the theft by matching his /her Foot finger prints with Hand finger prints. Because due to plastic surgery sometimes criminal change their identity, and protect them self from punishment.
In this work fingerprint and foot finger prints are recognized with the help of minutia because the minutia is the one element of the footprint and fingerprint that helps to find the matching with same and different persons. In this work database is created with the help of different persons footprints and fingerprints. After creating the database the matching of footprints and fingerprints is done with the help of that database and the accuracy of the footprints and the fingerprints are calculated.
Downloads
References
Barua K., Bhattacharya S., “Fingerprint Identification”, Global Journal of Computer Science & Technology, Vol. 11 (Issue 1), (Apr 2011).
Drahansky M., Dolezel M., “Influence of Skin Diseases on Fingerprint Recognition”, Hindawi Publishing Corporation Journal of Biomedicine and Biotechnology, Vol. 26, (Feb 2012).
B.B., “Science vs. Crime: The Evolution of the Police Lab”, Craigmont Publications: New York, (1979).
Habib H.A., Mufti M., “Real Time Mono Vision Gesture Based Virtual Keyboard System”, IEEE Transactions on Consumer Electronics, Vol. 52 (Issue 4), (Nov 2006).
Jain A.K., Bolle R., Pankanti S., “Biometrics: Personal Identification in a Networked Society”, Kluwer cademic Publishers, (1999).
James E.S., “A Critical Analysis of Selected Features of Fingerprinting”, In Forensic Science and Law: Investigative Applications in Criminal, Civil, and Family Justice, Wecht, Cyril H., Rago, John T. Eds., Taylor and Francis Group: New York, P.P. 299-322.
James M., “Catching the Killers: A History of Crime Detection”, Ebury Press: London, (2001).
Katherine R., “The Forensic Science of C.S.I.”, Berkley Boulevard Books: New York, (2001).
Kelly M.P., “The U.S. Forensic Laboratory System under Siege Forensic Science under Siege: The Challenges of Forensic Laboratories and the Medico-Legal Death Investigation System”, Elssevier: New York, P.P. 51-107.
Kelly M.P., “DNA: Convicting the Guilty, Exonerating the Innocent. Forensic Science Under Siege: The Challenges of Forensic Laboratories and the Medico-Legal Death Investigation System”, Elssevier: New York, P.P. 291-340.
Kulshrestha M., “Finger Print Recognition: Survey of Minutiae and Gabor Filtering Approach” International Journal of Computer Applications (0975 – 8887), Vol. 50 (Issue 4), (Jul 2012).
Kumar D.V., Murthy M.R.K., “Fingerprint Based ATM Security by using ARM7”, IOSR Journal of Electronics and Communication Engineering (ISSN: 2278-2834) Vol. 2 (Issue 5), (Sep-Oct 2012).
Lopez A.C., Lopez R.R., Queeman R.C., “Fingerprint Recognition” This research is supported by Dr. Roman Lopez mastership thesis and is part of the Polytechnic University of Puerto Rico Capstone course, now in progress .
Lorenzo V.L., Pellitero P.H., Torre J.I.M., Villar J.C., “Fingerprint Minutiae Extraction Based On FPGA and MatLab”, DCIS, (2005).
Maio D., “Second Fingerprint Verification Competition”, IEEE CS Press, Vol. 3, P.P. 811–814 (2002).
Maltoni D., “Handbook of Fingerprint Recognition”, Springer, (2003).
Marasco L.L., “Interoperability in Fingerprint Recognition: A Large-Scale Empirical Study”, IEEE/IFIP International Conference on Dependable Systems and Networks, P.P. 24 – 27, (Jun 2013).
Michael L., Simon A.C., Ruth M., Kathleen J., “Truth Machine: The Contentious History of DNA Fingerprinting”, University of Chicago Press: Chicago, (2008).
Modi S.K., Elliott S.J., “Impact of Age Groups on Fingerprint Recognition Performance”, IEEE, (2007).
Norah R., Keith I., “Forensic Science Timeline”, [Online], (Sep 2011).
Paulino A.A., “Latent Fingerprint Matching Using Descriptor-Based Hough Transform” IEEE Transactions On Information Forensics And Security, Vol. 8 (Issue 1), (Jan 2013).
Ramsland., Katherine., “Beating the Devil’s Game: A History of Forensic Science and Criminal Investigation”, Berkley Books: New York, (2007).
Senior A., "A Combination Fingerprint Classifier", IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 23 (Issue 10), (Oct 2001).
Soni N., Siddiqua A., “ Filtering Techniques used for Blurred Images in Fingerprint Recognition”, International Journal of Scientific and Research Publications (ISSN 2250-3153), Vol. 3 (Issue 5), May 2013.
Copyright (c) 2015 Journal of Information Sciences and Computing Technologies
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
TRANSFER OF COPYRIGHT
JISCT is pleased to undertake the publication of your contribution to Journal of Information Sciences and Computing Technologies
The copyright to this article is transferred to JISCT(including without limitation, the right to publish the work in whole or in part in any and all forms of media, now or hereafter known) effective if and when the article is accepted for publication thus granting JISCT all rights for the work so that both parties may be protected from the consequences of unauthorized use.