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 | |
| 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 | United States |
| City | Honolulu |
| Period | 18/1/24 → 18/1/27 |
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All Science Journal Classification (ASJC) codes
- Information Systems
- Computer Networks and Communications
- Computer Science Applications
- Signal Processing
- Electrical and Electronic Engineering
Cite this
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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
TY - GEN
T1 - A method for fingerprint enrollment by finger rubbing
AU - Cho, Sungchul
AU - Kim, Jaihie
PY - 2018/4/2
Y1 - 2018/4/2
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.
UR - http://www.scopus.com/inward/record.url?scp=85048566665&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85048566665&partnerID=8YFLogxK
U2 - 10.23919/ELINFOCOM.2018.8330571
DO - 10.23919/ELINFOCOM.2018.8330571
M3 - Conference contribution
AN - SCOPUS:85048566665
T3 - International Conference on Electronics, Information and Communication, ICEIC 2018
SP - 1
EP - 2
BT - International Conference on Electronics, Information and Communication, ICEIC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
ER -