A new approach to unwrap a 3-D fingerprint to a 2-D rolled equivalent fingerprint

Shafaei, Sara; Inanc, Tamer; Hassebrook, Laurence G.

doi:10.1109/btas.2009.5339023

Cited by 17 publications

(5 citation statements)

References 8 publications

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“…Despite the seemingly unrelated technologies, there is no real compatibility gap between 3‐D scanning and 2‐D photography of fingerprints, as demonstrated in this study. 3‐D scanned plastic prints, even on an irregular surface can still be transformed to 2‐D rolled equivalent images with existing unwrapping algorithms and work seamlessly with the AFIS database . The third dimension enables a new level of analysis based on curvature features, and if scan resolution allows, the 3‐D shape and depth of ridges may also become potential targets for comparison.…”

Section: Resultsmentioning

confidence: 99%

Application of Structured‐Light 3‐D Scanning to the Documentation of Plastic Fingerprint Impressions: A Quality Comparison with Traditional Photography

Zhang

Kosiorek²,

Brodeur

2019

Journal of Forensic Sciences

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Plastic fingerprint impressions found at crime scenes are often too delicate for collection, leaving photography as the best option for documentation. However, traditional photography techniques can be inadequate in documenting minute 3-D details due to limitations of the camera and lighting conditions. This study investigated the feasibility of applying commercially available structured-light 3-D scanners in the documentation of plastic prints. Attempts were made to develop a procedure to extract curvature features from 3-D scanned fingerprints and flatten the friction ridge features into two-dimensional (2-D) images to allow direct comparison with the traditional photography in the CSIpix â Matcher and NFIQ 2.0 software. Two 3-D scanners were evaluated a Dentsply Sirona inEos X5 â and an Artec Space Spider. In this study, 3-D scanners demonstrated robustness as well as efficiency in the collection of plastic fingerprint impressions in select substrates. One of the developed methods utilizing a discrete geometry operator and convexity features outperformed traditional photography, achieving higher software detection scores in minutiae count and match quality, while traditional photography could not always capture enough high-quality minutiae for comparisons, even after digital enhancement.

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Section: Resultsmentioning

confidence: 99%

Application of Structured‐Light 3‐D Scanning to the Documentation of Plastic Fingerprint Impressions: A Quality Comparison with Traditional Photography

Zhang

Kosiorek²,

Brodeur

2019

Journal of Forensic Sciences

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“…A resampling algorithm applied to preserve the distances between the points pertaining to the slice then unfolds each slice. The nonparametric method presented in [86] fits the plane for each local region of the model and then unwraps the points for each fitted plane, minimizing a cost function that describes the movement exerted between each point and its neighbors. The method presented in [87] includes a simulation of the finger pressure on a sensor plate with the aim of increasing the similarity between touch-compatible images and touch-based images.…”

Section: B Three-dimensional Systemsmentioning

confidence: 99%

Toward Unconstrained Fingerprint Recognition: A Fully Touchless 3-D System Based on Two Views on the Move

Labati

Genovese

Piuri

et al. 2016

IEEE Trans. Syst. Man Cybern, Syst.

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Touchless fingerprint recognition systems do not require contact of the finger with any acquisition surface and thus provide an increased level of hygiene, usability, and user acceptability of fingerprint-based biometric technologies. The most accurate touchless approaches compute 3-D models of the fingertip. However, a relevant drawback of these systems is that they usually require constrained and highly cooperative acquisition methods. We present a novel, fully touchless fingerprint recognition system based on the computation of 3-D models. It adopts an innovative and less-constrained acquisition setup compared with other previously reported 3-D systems, does not require contact with any surface or a finger placement guide, and simultaneously captures multiple images while the finger is moving. To compensate for possible differences in finger placement, we propose novel algorithms for computing 3-D models of the shape of a finger. Moreover, we present a new matching strategy based on the computation of multiple touch-compatible images. We evaluated different aspects of the biometric system: acceptability, usability, recognition performance, robustness to environmental conditions and finger misplacements, and compatibility and interoperability with touch-based technologies. The proposed system proved to be more acceptable and usable than touch-based techniques. Moreover, the system displayed satisfactory accuracy, achieving an equal error rate of 0.06% on a dataset of 2368 samples acquired in a single session and 0.22% on a dataset of 2368 samples acquired over the course of one year. The system was also robust to environmental conditions and to a wide range of finger rotations. The compatibility and interoperability with touch-based technologies was greater or comparable to those reported in public tests using commercial touchless devices.

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“…The technique described in [12] is based on the conversion of the three-dimensional points in spherical coordinates, and on a subsequent refinement step. The approach described in [13] computes the fitting plane for each local region of the model and then unwraps the points for each fitted plane, minimizing a cost function which describes the movement exerted between each point and its neighbors.…”

Section: Previous Workmentioning

confidence: 99%

Fast 3-D fingertip reconstruction using a single two-view structured light acquisition

Labati

Genovese

Piuri

et al. 2011

2011 IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BIOMS)

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Abstract-Current contactless fingertip recognition systems based on three-dimensional finger models mostly use multiple views (N > 2) or structured light illumination with multiple patterns projected over a period of time. In this paper, we present a novel methodology able to obtain a fast and accurate threedimensional reconstruction of the fingertip by using a single twoview acquisition and a static projected pattern. The acquisition setup is less constrained than the ones proposed in the literature and requires only that the finger is placed according to the depth of focus of the cameras, and in the overlapping field of views.The obtained pairs of images are processed in order to extract the information related to the fingertip and the projected pattern. The projected pattern permits to extract a set of reference points in the two images, which are then matched by using a correlation approach. The information related to a previous calibration of the cameras is then used in order to estimate the finger model, and one input image is wrapped on the resulting three-dimensional model, obtaining a three-dimensional pattern with a limited distortion of the ridges. In order to obtain data that can be treated by traditional algorithms, the obtained three-dimensional models are then unwrapped into bidimensional images.The quality of the unwrapped images is evaluated by using a software designed for contact-based fingerprint images. The obtained results show that the methodology is feasible and a realistic three-dimensional reconstruction can be achieved with few constraints. These results also show that the fingertip models computed by using our approach can be processed by both specific three-dimensional matching algorithms and traditional matching approaches.We also compared the results with the ones obtained without using structured light techniques, showing that the use of a projector achieves a faster and more accurate fingertip reconstruction.

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A new approach to unwrap a 3-D fingerprint to a 2-D rolled equivalent fingerprint

Cited by 17 publications

References 8 publications

Application of Structured‐Light 3‐D Scanning to the Documentation of Plastic Fingerprint Impressions: A Quality Comparison with Traditional Photography

Application of Structured‐Light 3‐D Scanning to the Documentation of Plastic Fingerprint Impressions: A Quality Comparison with Traditional Photography

Toward Unconstrained Fingerprint Recognition: A Fully Touchless 3-D System Based on Two Views on the Move

Fast 3-D fingertip reconstruction using a single two-view structured light acquisition

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