Optical-coherence-tomography-based algorithm for handwriting forensic analysis
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2020
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SPIE PHOTONICS WEST; SPIE OPTO
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This work describes a new method for handwriting forensic analysis using optical coherence tomography (OCT) images.
The region of interest (ROI) in documents signature to be analyzed were pre-selected with a traditional optical analyzer
(Docucenter 2000 – Projectina®) equipped with different wavelengths light sources and bandpass filters coupled
detector. The ROI where then submitted to OCT to 3D imaging (OCP930SR, Thorlabs Inc.) with optical resolution of
6.0 microns. One original and 5 falsified signatures were produced by 5 different individuals, using a block of 5 sheets of
white sulfite paper A4 size and weight of 75 g/m^2, using the same blue ballpoint pen and in the same surface. For
pressure pen calibration, were developed a system computer controlled to maintain the pressure constant during writing
linear traces, 15 different pressure configuration were applied to each linear trace, resulting in a relation between
deformation and applied pressure. An autonomous algorithm was developed to make surface detection, across OCT
tomographic images, correct the paper surface curvature, detect and measure deformation on paper due to pen pressure,
generating a new image in false color from differential pressure, based in previous calibration. This new image can be
considered as a “fingerprint pressure” signature. This methodology may assist the forensic expert in correctly
determining the authorship of a signature.
Como referenciar
FREITAS, ANDERSON Z. de; RIBEIRO, LUCAS A. de S.; NEGRINI NETO, OSVALDO; SARKIS, JORGE E.S.; SIQUEIRA, ANDRESSA N. Optical-coherence-tomography-based algorithm for handwriting forensic analysis. In: JALALI, BAHRAM (ed.); KITAYAMA, KEN-ICHI (ed.). In: SPIE PHOTONICS WEST; SPIE OPTO, February 1-6, 2020, San Francisco, USA. Proceedings... Washington, USA: SPIE, 2020. p. 112990P-1 - 112990P-8. (Proceedings SPIE 11299, AI and Optical Data Sciences). DOI: 10.1117/12.2543356. Disponível em: http://repositorio.ipen.br/handle/123456789/31563. Acesso em: 30 Dec 2025.
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