Latent fingerprint residue detection method using Sagnac Fourier transform imaging spectroscopy

Area of Science:

• Forensic Science
• Spectroscopy
• Imaging Technology

Background:

• Latent fingerprint detection is crucial in forensic investigations.
• Existing methods may lack sensitivity or detailed residue analysis.
• Hyperspectral imaging offers potential for enhanced forensic data acquisition.

Purpose of the Study:

• To introduce a new method for detecting latent fingerprints and their residues.
• To utilize Sagnac ultraviolet Fourier transform imaging spectroscopy for this purpose.
• To demonstrate the method's capability in providing detailed spectral-image data.

Main Methods:

• Employing Sagnac ultraviolet Fourier transform imaging spectroscopy.
• Acquiring three-dimensional data cubes (2D images and spectra).
• Implementing data processing techniques: self-adaptive differential filtering, apodization, and fast Fourier transform to manage spectral-image redundancy.

Main Results:

• Successful detection of latent fingerprints.
• Visualization of latent fingerprint residue distribution.
• Demonstration of the method's effectiveness in capturing detailed spectral and spatial information.

Conclusions:

• The proposed Sagnac ultraviolet Fourier transform imaging spectroscopy method is effective for latent fingerprint and residue detection.
• The technique provides comprehensive three-dimensional data for forensic analysis.
• This advanced imaging approach enhances the ability to analyze fingerprint evidence and its associated residues.