Illumination scheme for high-contrast, contactless fingerprint images

Wang, Lirong; El-Maksoud, Rania H. Abd; Sasián, José M.; Valencia, V. S.

doi:10.1117/12.828523

Cited by 8 publications

(5 citation statements)

References 1 publication

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“…There have been some small preliminary studies into lighting. Wang et al [71] recommend a blue polarized light at a 45 degree angle to the finger. They provide information on the construction of the light source and filters over the detector.…”

Section: ) Illuminationmentioning

confidence: 99%

Biometric Recognition of Infants using Fingerprint, Iris, and Ear Biometrics

et al. 2021

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Biometric recognition is often used for adults for a variety of purposes where an individual's identity must be ascertained. However, the biometric recognition of children is an unsolved challenge. Solving this challenge could protect children from identity theft and identity fraud, help in reuniting lost children with their parents, improve border control systems in combatting child trafficking, and assist in electronic record-keeping systems. In order to begin the development of biometric recognition systems for children, researchers collected fingerprint, iris, and outer ear shape biometric information from infants. Each modality provides different challenges. Where possible, the performance of existing hardware and software that was developed for adults was assessed with infants. Where necessary, novel hardware or software was developed. For the ear modality, existing hardware and software which have previously been applied to adults were applied to children. For the iris modality, existing hardware was used to acquire the images, while adjustments to the existing preprocessing algorithms were applied to cater for the localisation and segmentation of infant irises. For the fingerprint modality, novel hardware and image processing software were developed to acquire fingerprints from infants, and convert the images into a format which is backward compatible with existing international standards for minutiae extraction and comparison. The advantages and disadvantages of using each of these modalities during the first year of life were compared, based on both qualitative assessments of usage, and quantitative assessments of performance. While there is no conclusively best modality, recommendations of usage for each modality were provided.

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Section: ) Illuminationmentioning

confidence: 99%

Biometric Recognition of Infants using Fingerprint, Iris, and Ear Biometrics

et al. 2021

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“…We used a LED illumination to enhance the details of the fingerprint, so that the sweat pores are visible in the captured image. A green LED was used since shorter wavelengths are less absorbed by the skin and result in more contrasted images [45]. However, while a blue wavelength is shorter and would be even less absorbed with respect to the green one, blue LEDs have a smaller light intensity and would require too high shutter times in order to avoid motion blur.…”

Section: A Acquisitionmentioning

confidence: 99%

Towards touchless pore fingerprint biometrics: A neural approach

Genovese

Muñoz

Piuri

et al. 2016

2016 IEEE Congress on Evolutionary Computation (CEC)

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Touchless fingerprint recognition systems are being increasingly used for a fast, hygienic, and distortion-free recognition. However, due to the greater complexity of the algorithms required for processing touchless fingerprint samples, currently only Level 1 and Level 2 features are being used for recognition, and Level 3 features are used only in touch-based optical devices with about 1000 ppi resolution. In this paper, we propose the first innovative method in the literature able to extract Level 3 features, in particular sweat pores, from fingerprint images captured with a touchless acquisition using a commercial offthe-shelf camera. The method uses image processing algorithms to extract a set of candidate sweat pores. Then, computational intelligence techniques based on neural networks are used to learn the local features of the real pores, and select only the actual sweat pores from the set of candidate points. The results show the validity of the proposed methodology, with the majority of the pores correctly extracted, indicating that a touchless fingerprint recognition using Level 3 features is feasible.

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“…For this reason, specific illumination techniques (e.g., a point light source) are frequently adopted to improve the visibility of the fingertip details [41]- [44]. However, white and infrared light wavelengths tend to penetrate the skin and be absorbed by the epidermis, producing relatively lowcontrast images [4], [45]. A blue light with a wavelength of 500 nm permits better-quality images [46], [47].…”

Section: Previous Work a Two-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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Illumination scheme for high-contrast, contactless fingerprint images

Cited by 8 publications

References 1 publication

Biometric Recognition of Infants using Fingerprint, Iris, and Ear Biometrics

Biometric Recognition of Infants using Fingerprint, Iris, and Ear Biometrics

Towards touchless pore fingerprint biometrics: A neural approach

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

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