A method for fingerprint enrollment by finger rubbing

Sungchul Cho; Jaihie Kim

doi:10.23919/ELINFOCOM.2018.8330571

A method for fingerprint enrollment by finger rubbing

Sungchul Cho, Jaihie Kim

Department of Electrical and Electronic Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Abstract

In these days, most fingerprint enrollment schemes for small mobile sensors ask the user cooperation to acquire wide finger coverage by requesting many input images. Nevertheless, it may still not be enough as some input images may cover the same part of the fingerprint. Therefore, we propose a novel enrollment scheme capturing all input images at one time by rubbing the finger on a sensor without touching-off during the whole enrollment process. Then, optimal image selection is followed for selecting best images among all input images to maximize the fingerprint coverage with less number of enrollment images. Experimental results showed that Equal Error Rate (EER) is about 30% improved compared to the conventional enrollment scheme.

Original language	English
Title of host publication	International Conference on Electronics, Information and Communication, ICEIC 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	1-2
Number of pages	2
ISBN (Electronic)	9781538647547
DOIs	https://doi.org/10.23919/ELINFOCOM.2018.8330571
Publication status	Published - 2018 Apr 2
Event	17th International Conference on Electronics, Information and Communication, ICEIC 2018 - Honolulu, United States Duration: 2018 Jan 24 → 2018 Jan 27

Publication series

Name	International Conference on Electronics, Information and Communication, ICEIC 2018
Volume	2018-January

Other

Other	17th International Conference on Electronics, Information and Communication, ICEIC 2018
Country/Territory	United States
City	Honolulu
Period	18/1/24 → 18/1/27

Bibliographical note

Funding Information:
This research was supported National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2016-006320).

Publisher Copyright:
© 2018 Institute of Electronics and Information Engineers.

All Science Journal Classification (ASJC) codes

Information Systems
Computer Networks and Communications
Computer Science Applications
Signal Processing
Electrical and Electronic Engineering

Access to Document

10.23919/ELINFOCOM.2018.8330571

Cite this

Cho, S., & Kim, J. (2018). A method for fingerprint enrollment by finger rubbing. In International Conference on Electronics, Information and Communication, ICEIC 2018 (pp. 1-2). (International Conference on Electronics, Information and Communication, ICEIC 2018; Vol. 2018-January). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.23919/ELINFOCOM.2018.8330571

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title = "A method for fingerprint enrollment by finger rubbing",

abstract = "In these days, most fingerprint enrollment schemes for small mobile sensors ask the user cooperation to acquire wide finger coverage by requesting many input images. Nevertheless, it may still not be enough as some input images may cover the same part of the fingerprint. Therefore, we propose a novel enrollment scheme capturing all input images at one time by rubbing the finger on a sensor without touching-off during the whole enrollment process. Then, optimal image selection is followed for selecting best images among all input images to maximize the fingerprint coverage with less number of enrollment images. Experimental results showed that Equal Error Rate (EER) is about 30% improved compared to the conventional enrollment scheme.",

author = "Sungchul Cho and Jaihie Kim",

note = "Funding Information: This research was supported National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT) (No. 2016-006320). Publisher Copyright: {\textcopyright} 2018 Institute of Electronics and Information Engineers.; 17th International Conference on Electronics, Information and Communication, ICEIC 2018 ; Conference date: 24-01-2018 Through 27-01-2018",

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doi = "10.23919/ELINFOCOM.2018.8330571",

language = "English",

series = "International Conference on Electronics, Information and Communication, ICEIC 2018",

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Cho, S & Kim, J 2018, A method for fingerprint enrollment by finger rubbing. in International Conference on Electronics, Information and Communication, ICEIC 2018. International Conference on Electronics, Information and Communication, ICEIC 2018, vol. 2018-January, Institute of Electrical and Electronics Engineers Inc., pp. 1-2, 17th International Conference on Electronics, Information and Communication, ICEIC 2018, Honolulu, United States, 18/1/24. https://doi.org/10.23919/ELINFOCOM.2018.8330571

A method for fingerprint enrollment by finger rubbing. / Cho, Sungchul; Kim, Jaihie.

International Conference on Electronics, Information and Communication, ICEIC 2018. Institute of Electrical and Electronics Engineers Inc., 2018. p. 1-2 (International Conference on Electronics, Information and Communication, ICEIC 2018; Vol. 2018-January).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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N2 - In these days, most fingerprint enrollment schemes for small mobile sensors ask the user cooperation to acquire wide finger coverage by requesting many input images. Nevertheless, it may still not be enough as some input images may cover the same part of the fingerprint. Therefore, we propose a novel enrollment scheme capturing all input images at one time by rubbing the finger on a sensor without touching-off during the whole enrollment process. Then, optimal image selection is followed for selecting best images among all input images to maximize the fingerprint coverage with less number of enrollment images. Experimental results showed that Equal Error Rate (EER) is about 30% improved compared to the conventional enrollment scheme.

AB - In these days, most fingerprint enrollment schemes for small mobile sensors ask the user cooperation to acquire wide finger coverage by requesting many input images. Nevertheless, it may still not be enough as some input images may cover the same part of the fingerprint. Therefore, we propose a novel enrollment scheme capturing all input images at one time by rubbing the finger on a sensor without touching-off during the whole enrollment process. Then, optimal image selection is followed for selecting best images among all input images to maximize the fingerprint coverage with less number of enrollment images. Experimental results showed that Equal Error Rate (EER) is about 30% improved compared to the conventional enrollment scheme.

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A method for fingerprint enrollment by finger rubbing

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