CRIMINAL IDENTIFICATION USING PARTIAL FINGERPRINT RECONSTRUCTION METHOD

Abstract

Sometimes during crime investigations police detectives find partial fingerprint at the crime scene which makes it difficult to identify the criminal. Thus we need to implement this paper to reconstruct a fingerprint from its partial print, which will later on help to identify the criminal through minutia points. . In the proposed system a reconstruction algorithm that utilizes prior knowledge of two kinds of dictionaries, orientation patch and continuous phase patch dictionaries to improve the reconstructed fingerprint. The orientation field is reconstructed from a particular minutia set produced, with help of orientation patch dictionary and the ridge pattern is reconstructed by continuous phase patch dictionary. We used three public domain fingerprint databases that demonstrates the proposed reconstruction algorithm outperforms the state-ofthe-art reconstruction algorithms in terms of both: Type-I attack (matching the reconstructed fingerprint against the same impression from which minutiae set was extracted) and Type-II attack (matching the reconstructed fingerprint against a different impression of the same finger).The main objective of our project is to develop a system for providing security to the fingerprint image of a person. The novel approach is used towards reconstruction which will increase the efficiency of reconstructed fingerprint image. The reconstructed fingerprint image can be used for criminal identification which can be efficiently done by applying classification algorithm. Its more focused towards making the overall Criminal Identification system to more efficient and secured, which will in turn improve the identification of the criminal through Journal homepage: www.mjret.in ISSN:2348 - 6953 Multidisciplinary Journal of Research in Engineering and Technology, Volume 3, Issue 4, Pg. 1045-1054 1046 | P a g e M5-3-4-10-2016 reconstruction of partial fingerprint found at the crime scene. This project will lead to innovation in different fields like Biometrics and Forensics.