A review of fingerprint pre-processing using a mobile phone

Wan, Fajri Kurnia

doi:10.1109/icwapr.2012.6294770

Cited by 13 publications

(5 citation statements)

References 24 publications

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“…The pioneering touchless fingerprint recognition scheme by Song et al in 2004 marked the inception of a growing body of research aimed at improving the reliability and user-friendliness of these systems [5]. Contributions by Parziale and Chen [6] and Khalil and Wan [7] distinguished between 2D and 3D acquisition technologies, processing strategies, and quality considerations, with additional insights into presentation attack detection (PAD) schemes. However, existing reviews lack a comprehensive discussion of current approaches.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Sensor Based Touchless Fingerprint System

Khan,

Al-Kaabi,

Al-Kharusi

et al. 2024

jour

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his paper introduces a touchless fingerprint recognition system, offering a hygienic alternative to conventional touch-based systems. The primary objective is to develop and evaluate a comprehensive solution that addresses hygiene-related concerns and mitigates the risks associated with disease transmission, particularly in the context of the ongoing Covid-19 pandemic. The proposed system utilizes a state-of-the-art touchless sensor to capture intricate fingerprint images, subsequently processing, storing, and retrieving them for matching purposes. By eliminating the need for physical contact, the system effectively tackles issues related to inconsistent pressure and prolonged collection times. The touchless fingerprint technology showcased in this system holds great promise for diverse applications that demand secure and hygienic fingerprint recognition. The proposed method overcomes the limitations inherent in touch-based systems, making it well-suited for environments where health and safety considerations are paramount. The integration of this touchless technology not only enhances security but also contributes significantly to public health by reducing the risk of cross-contamination in shared touchpoints. As the world navigates the challenges posed by the pandemic, the adoption of touchless fingerprint recognition systems represents a crucial step toward creating safer and more hygienic environments.

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Section: Literature Reviewmentioning

confidence: 99%

Smart Sensor Based Touchless Fingerprint System

Khan,

Al-Kaabi,

Al-Kharusi

et al. 2024

jour

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“…4d. In 2012, Khalil and Wan [8] presented a survey on the special topic of preprocessing finger images acquired with mobile phones. The authors highlighted the relevance of this field of research and summarized the differences between the touchless and the touchbased domain.…”

Section: Preprocessing Pipelinementioning

confidence: 99%

“…Further, the authors gave an overview on presentation attack detection (PAD) schemes. Khalil and Wan [8] reviewed state-of-the-art algorithms along the preprocessing pipeline and address PAD. Even though, their work highlights some important issues in the field it lacks a comprehensive discussion of current approaches.…”

Section: Introductionmentioning

confidence: 99%

An Overview of Touchless 2D Fingerprint Recognition

Rathgeb,

Priesnitz

2020

Preprint

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Touchless fingerprint recognition represents a rapidly growing field of research which has been studied for more than a decade. Through a touchless acquisition process, many issues of touch-based systems are circumvented, e.g., the presence of latent fingerprints or distortions caused by pressing fingers on a sensor surface. However, touchless fingerprint recognition systems reveal new challenges. In particular, a reliable detection and focusing of a presented finger as well as an appropriate preprocessing of the acquired finger image represent the most crucial tasks. Also, further issues, e.g., interoperability between touchless and touch-based fingerprints or presentation attack detection, are currently investigated by different research groups. Many works have been proposed so far to put touchless fingerprint recognition into practice. Published approaches range from self identification scenarios with commodity devices, e.g., smartphones, to high performance on-the-move deployments paving the way for new fingerprint recognition application scenarios. This work summarizes the state-of-the-art in the field of touchless 2D fingerprint recognition at each stage of the recognition process. Additionally, technical considerations and trade-offs of the presented methods are discussed along with open issues and challenges. An overview of available research resources completes the work.

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“…Unconstrained acquisition systems only perform an approximated normalization by evaluating the finger's silhouette [38]. Preprocessing methods for touchless images captured by mobile devices are reviewed in [54].…”

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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A review of fingerprint pre-processing using a mobile phone

Cited by 13 publications

References 24 publications

Smart Sensor Based Touchless Fingerprint System

Smart Sensor Based Touchless Fingerprint System

An Overview of Touchless 2D Fingerprint Recognition

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

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