Korean Journal of Optics and Photonics (한국광학회지)

Optical Society of Korea (한국광학회)
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Forensic Classification of Latent Fingerprints Applying Laser-induced Plasma Spectroscopy Combined with Chemometric Methods

케모메트릭 방법과 결합된 레이저 유도 플라즈마 분광법을 적용한 유류 지문의 법의학적 분류 연구

  • Yang, Jun-Ho (eXtreme Energy Laboratory, Department of Aerospace Engineering, Seoul National University) ;
  • Yoh, Jai-Ick (eXtreme Energy Laboratory, Department of Aerospace Engineering, Seoul National University)
  • 양준호 (서울대학교 기계항공공학부, 고에너지 응용 연구실) ;
  • 여재익 (서울대학교 기계항공공학부, 고에너지 응용 연구실)
  • Received : 2020.02.21
  • Accepted : 2020.03.25
  • Published : 2020.06.25
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Abstract

An innovative method for separating overlapping latent fingerprints, using laser-induced plasma spectroscopy (LIPS) combined with multivariate analysis, is reported in the current study. LIPS provides the capabilities of real-time analysis and high-speed scanning, as well as data regarding the chemical components of overlapping fingerprints. These spectra provide valuable chemical information for the forensic classification and reconstruction of overlapping latent fingerprints, by applying appropriate multivariate analysis. This study utilizes principal-component analysis (PCA) and partial-least-squares (PLS) techniques for the basis classification of four types of fingerprints from the LIPS spectra. The proposed method is successfully demonstrated through a classification example of four distinct latent fingerprints, using discrimination such as soft independent modeling of class analogy (SIMCA) and partial-least-squares discriminant analysis (PLS-DA). This demonstration develops an accuracy of more than 85% and is proven to be sufficiently robust. In addition, by laser-scanning analysis at a spatial interval of 125 ㎛, the overlapping fingerprints were separated as two-dimensional forms.

본 논문에서는 다변량 분석법과 결합된 레이저 유도 플라즈마 분광법을 사용하여 겹친 유류 지문을 분리하는 혁신적인 방법을 연구하였다. LIPS는 겹친 유류 지문의 화학 성분에 대한 데이터뿐 아니라 실시간 분석 및 고속 스캐닝이 가능한 분광법이다. 레이저 유도 플라즈마 분광법을 통해 도출된 스펙트럼은 적절한 다변량 분석이 적용되어 법의학적 분류와 겹친 유류 지문의 재구성에 유용한 화학적 성분을 제공한다. 본 연구에서는 LIPS 스펙트럼에서 4가지의 유류 지문을 분류하기 위하여, 주성분 분석 방식과 부분 최소 제곱 회귀 분석을 사용하였다. 제안된 방법은 SIMCA 및 PLS-DA와 같은 구별 방식을 사용하여 4개의 유류 지문의 분류를 성공적으로 입증하였다. 본 연구의 결과는 대략 85% 이상의 정확도를 가졌으며, external validation 실험에서도 분류의 가능함을 보였다. 최종적으로, 125 ㎛의 공간 간격으로 레이저 스캐닝 분석을 통한 겹친 유류 지문의 2차원 형태의 분리가 가능함을 입증하였다.

Keywords

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