The overlapped latent fingerprint separation by using Fourier Optics (FO)
Issued Date
2022-01-07
Resource Type
ISSN
17426588
eISSN
17426596
Scopus ID
2-s2.0-85123686964
Journal Title
Journal of Physics: Conference Series
Volume
2145
Issue
1
Rights Holder(s)
SCOPUS
Bibliographic Citation
Journal of Physics: Conference Series Vol.2145 No.1 (2022)
Suggested Citation
Sommit N., Chitaree R. The overlapped latent fingerprint separation by using Fourier Optics (FO). Journal of Physics: Conference Series Vol.2145 No.1 (2022). doi:10.1088/1742-6596/2145/1/012055 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/86931
Title
The overlapped latent fingerprint separation by using Fourier Optics (FO)
Author(s)
Author's Affiliation
Other Contributor(s)
Abstract
Latent fingerprints are one of the most important pieces of evidence left at a crime scene and can be linked to all individuals involved. Each person's fingerprints are unique and permanent, becoming an ideal biometric trait for the personal identification by extracting and comparing characteristic points (minutiae) of ridges. The overlapping fingerprint cases are frequently encountered in a crime scene and causing a difficult interpretation for an investigator. The problem has been challenging for forensic scientists over a decade. The method proposed in this study for the separation of overlapped latent fingerprints is based on the well-known spatial filtering method in the Fourier Optics (FO). Instead of tackling the problem by experiment, an alternative and simple means of image processing was proposed and conducted. The working principles start form converting spatial domain patterns (an image of overlapped fingerprints) to spatial frequency domain patterns or power spectrum, filtering out unwanted components (unwanted fingerprint) by appropriate spatial filters, and finally converting the modified pattern back to spatial domain patterns (an image of suspect fingerprint). As a result, the final image is improved from its original state. The periodic pattern of ridges is the key that allows FO to be used in the separation of the overlapped fingerprints. In this work, the procedures described are simply performed by an open source software: ImageJ. The FO-based image processing technique satisfactorily demonstrated its ability to recover an individual fingerprint from overlapping fingerprints.