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Analyses on Multi-sensor Fingerprint Enhancement and Indexing

Published: 21 March 2022 Publication History

Abstract

Fingerprint biometric has been widely applied in both forensic law enforcement and security applications, and the most common application is access control. In recent years, we have witnessed the development of touchless fingerprint acquisition technology, which can generate 3D representation of fingerprints. Although some research has been carried out on 3D fingerprint feature extraction (e.g. 3D minutiae) and identification, it is computationally expensive and time-consuming to compare two sets of 3D minutiae in real time. Therefore, the common way to develop an Automatic Fingerprint Identification System (AFIS) using 3D fingerprints is to unwrap 3D fingerprints into 2D equivalent images, then the existing algorithms for 2D fingerprint processing can be utilized. In this paper, we present some observations of 2D to 3D (unraveled 2D equivalent images from 3D model) fingerprints recognition based on a publicly available database. We tested the performance of 2D to 3D fingerprint verification using enhanced unraveled 2D equivalent images. The results show that the cropped enhanced 3D images based on singular points can achieve the best performance. Since enhanced fingerprint images can result in efficient fingerprint indexing, we also made some analyses on the hash bit selection of MCC indexing scheme using the cropped enhanced 3D images based on singular points.

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Xuefei Yin, Yanming Zhu, and Jiankun Hu. 2021. 3D Fingerprint Recognition based on Ridge-Valley-Guided 3D Reconstruction and 3D Topology Polymer Feature Extraction. IEEE Transactions on Pattern Analysis and Machine Intelligence 43, 3(2021), 1085–1091.
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Peng Zhang, Jiankun Hu, Cai Li, Mohammed Bennamoun, and Vijayakumar Bhagavatula. 2011. A pitfall in fingerprint bio-cryptographic key generation.Computers & Security 30, 5 (2011), 311–319.
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Qian Zheng, Ajay Kumar, and Gang Pan. 2018. Contactless 3D fingerprint identification without 3D reconstruction. In 2018 International Workshop on Biometrics and Forensics (IWBF). 1–6.
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Wei Zhou, Jiankun Hu, Ian Petersen, and Mohammed Bennamoun. 2013. Network and System Security: 7th International Conference, NSS 2013, Madrid, Spain, June 3-4, 2013. Proceedings. Springer Berlin Heidelberg, Berlin, Heidelberg, Chapter Partial Fingerprint Reconstruction with Improved Smooth Extension, 756–762.
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Wei Zhou, Jiankun Hu, I. Petersen, Song Wang, and M. Bennamoun. 2013. Performance evaluation of 2D to 3D fingerprint recognition. In Image and Signal Processing (CISP), 2013 6th International Congress on, Vol. 03. 1736–1741.
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Wei Zhou, Jiankun Hu, I. Petersen, Song Wang, and M. Bennamoun. 2015. 3D Fingerprints-A Survey. In Biometric Security. Cambridge Scholars Publishing, Chapter 14, 461–487.
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Wei Zhou, Jiankun Hu, and Song Wang. 2021. Enhanced Locality-Sensitive Hashing for Fingerprint Forensics Over Large Multi-Sensor Databases. IEEE Transactions on Big Data 7, 4 (2021), 759–769.
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W. Zhou, Jiankun Hu, Song Wang, I. Petersen, and M. Bennamoun. 2014. Performance evaluation of large 3D fingerprint databases. Electronics Letters 50, 15 (July 2014), 1060–1061.
[23]
Wei Zhou, Jiankun Hu, Song Wang, Ian Petersen, and Mohammed Bennamoun. 2015. Partial fingerprint indexing: a combination of local and reconstructed global features. Concurrency and Computation: Practice and Experience (2015).

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        cover image ACM Other conferences
        ACSW '22: Proceedings of the 2022 Australasian Computer Science Week
        February 2022
        260 pages
        ISBN:9781450396066
        DOI:10.1145/3511616
        Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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        Publication History

        Published: 21 March 2022

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        Author Tags

        1. 3D
        2. Forensic
        3. database
        4. fingerprint biometric

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        • Research-article
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        • National Natural Science Foundation of China

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        ACSW 2022
        ACSW 2022: Australasian Computer Science Week 2022
        February 14 - 18, 2022
        Brisbane, Australia

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        Overall Acceptance Rate 61 of 141 submissions, 43%

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