Sequence detection of overlapping latent fingerprints using a short-term aging feature

Schott, Maik; Merkel, Ronny; Dittmann, Jana

doi:10.1109/wifs.2012.6412630

Cited by 6 publications

(4 citation statements)

References 8 publications

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“…Future work can be explored within the forensic scenario: the local reliability of the separation results can be further evaluated. For instance, in case of aging analysis [3], this means how precisely that the separation results mask the ridges from different fingerprints. In case of conventional usage (like identification), as assumed in [1, 10], this means how many minutiae are recovered correctly.…”

Section: Discussionmentioning

confidence: 99%

“…testing its chemical composition using gas chromatography–mass spectrometry (GC‐MS) [2]), but also produces fingerprint images with a high resolution revealing more details compared to conventional methods. This in turn enables the retrieval of further context of the evidence, for example, the identification of the time order with which a series of fingerprints have been left, therefore contributing to the generation of the time line [3]. However, such approach requires the a priori separation of the series of overlapped fingerprints.…”

Section: Introduction and State‐of‐the‐artmentioning

confidence: 99%

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Context‐based approach of separating contactless captured high‐resolution overlapped latent fingerprints

et al. 2014

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Overlapped latent fingerprints occurring at crime scenes challenge forensic investigations, as they cannot be properly processed unless separated. Addressing this, Chen et al. proposed a relaxation-labelling-based approach on simulated samples, improved by Feng et al. for conventionally developed latent ones. As the development of advanced contactless nanometrerange sensing technology keeps broadening the vision of forensics, the authors use a chromatic white light sensor for contactless non-invasive acquisition. This preserves the fingerprints for further investigations and enhances existing separation techniques. Motivated by the trend in dactyloscopy that investigations now not only aim at identifications but also retrieving further context of the fingerprints (e.g. chemical composition, age), a context-based separation approach is suggested for highresolution samples of overlapped latent fingerprints. The author's conception of context-aware data processing is introduced to analyse the context in this forensic scenario, yielding an enhanced separation algorithm with optimised parameters. Two test sets are generated for evaluation, one consisting of 60 authentic overlapped fingerprints on three substrates and the other of 100 conventionally developed latent samples from the work of Feng et al. An equal error rate of 5.7% is achieved on the first test set, which shows improvement over their previous work, and 17.9% on the second.

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Section: Discussionmentioning

confidence: 99%

Section: Introduction and State‐of‐the‐artmentioning

confidence: 99%

Context‐based approach of separating contactless captured high‐resolution overlapped latent fingerprints

et al. 2014

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“…The proposed algorithm approximately showed the rank-1 identification of 85% on latent fingerprint database and 96% on simulated database. Recently, Schott et al [82] suggested the usage of a latent fingerprint aging feature called Binary Pixel to separate overlapping latent prints. Among the overlapping fingerprints, the age estimation assessed the sequence of latent fingerprint deposition, thereby differentiating the prints.…”

Section: Automated Latent Fingerprint Recognition Systemmentioning

confidence: 99%

Latent Fingerprint Matching: A Survey

2014

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Latent fingerprint has been used as evidence in the court of law for over 100 years. However, even today, a completely automated latent fingerprint system has not been achieved. Researchers have identified several important challenges in latent fingerprint recognition: 1) low information content; 2) presence of background noise and nonlinear ridge distortion; 3) need for an established scientific procedure for matching latent fingerprints; and 4) lack of publicly available latent fingerprint databases. The process of automatic latent fingerprint matching is divided into five definite stages, and this paper discusses the existing algorithms, limitations, and future research directions in each of the stages.

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“…The majority of mainstream research focuses on identifying the direction of the fingerprint as a vector component after extracting images of overlapping fingerprints, and to proposing an algorithm that separates lines that do not have vector continuity. [7][8][9][10][11][12] One such method proposed by Nakamura et al has been developed to analyze the laser spectrum of overlapping fingerprints using a continuous wave green laser. 10 Meanwhile, the method developed by Bradshaw et al utilizes matrix-assisted laser desorption ionization mass spectrometry imaging with multivariate statistical analysis for detecting the endogenous and exogenous species on fingerprints.…”

Section: Introductionmentioning

confidence: 99%

Forensic Discrimination of Latent Fingerprints Using Laser-Induced Breakdown Spectroscopy (LIBS) and Chemometric Approaches

Yang

Yoh

2018

Appl Spectrosc

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A novel technique is reported for separating overlapping latent fingerprints using chemometric approaches that combine laser-induced breakdown spectroscopy (LIBS) and multivariate analysis. The LIBS technique provides the capability of real time analysis and high frequency scanning as well as the data regarding the chemical composition of overlapping latent fingerprints. These spectra offer valuable information for the classification and reconstruction of overlapping latent fingerprints by implementing appropriate statistical multivariate analysis. The current study employs principal component analysis and partial least square methods for the classification of latent fingerprints from the LIBS spectra. This technique was successfully demonstrated through a classification study of four distinct latent fingerprints using classification methods such as soft independent modeling of class analogy (SIMCA) and partial least squares discriminant analysis (PLS-DA). The novel method yielded an accuracy of more than 85% and was proven to be sufficiently robust. Furthermore, through laser scanning analysis at a spatial interval of 125 µm, the overlapping fingerprints were reconstructed as separate two-dimensional forms.

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Sequence detection of overlapping latent fingerprints using a short-term aging feature

Cited by 6 publications

References 8 publications

Context‐based approach of separating contactless captured high‐resolution overlapped latent fingerprints

Context‐based approach of separating contactless captured high‐resolution overlapped latent fingerprints

Latent Fingerprint Matching: A Survey

Forensic Discrimination of Latent Fingerprints Using Laser-Induced Breakdown Spectroscopy (LIBS) and Chemometric Approaches

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