| 大会名称 |
| 2017年 ソサイエティ大会 |
| 大会コ－ド |
| 2017S |
| 開催年 |
|
2017
|
| 発行日 |
|
|
| セッション番号 |
|
A-2
|
| セッション名 |
|
情報理論
|
| 講演日 |
|
2017/9/14
|
| 講演場所(会議室等) |
|
1号館 12A
|
| 講演番号 |
|
A-2-3
|
| タイトル |
|
Biometric Identification System with Protected Templates under Noisy Enrollment
|
| 著者名 |
|
◎Vamoua YACHONGKA, Hideki YAGI,
|
| キーワード |
|
Biometric Identification System, Protected Templates, The capacity region, Identification Rate, Secret-key Rate
|
| 抄録 |
|
We use the argument developed by Willems and Ignatenko to investigate the capacity region of the identification and secret-key rates of a biometric identification system with database consisting of protected templates. Compared to the previous study, we impose two more realistic conditions in our scenario; (i) we assume that the prior distribution of an identified user is unknown and (ii) there is a noisy discrete memoryless channel in the process of enrolling all individuals' bio-data sequence to the system database. The obtained result shows that the capacity region is similar to the one derived in previous research, and the unknown prior distribution does not decrease the capacity region.
|
| 本文pdf |
|
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|
