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Paper Abstract and Keywords
Presentation 2015-05-21 11:05
Analysis on Reliability Function and Strong Converse of Discrete Memoryless Biometrical Identification Systems
Yachongka Vamoua, Hideki Yagi (Univ. of Electro-Comm.) IT2015-3 EMM2015-3
Abstract (in Japanese) (See Japanese page) 
(in English) The biometrical identification system, introduced by Willems et al., is a system to identify individuals based on measurable physical characteristics of each individual. Some of the most important factors on this system are rate of the number of individuals and identification error probability. The maximum value of identification error probability is called maximum error probability. Willems et al. have made clear that the identification capacity i.e. the maximum achievable rate of the number of individuals that can be distinguished with a vanishing error probability asymptotically, of a discrete memoryless system can be characterized from an information theoretic perspective. However, in proving the converse theorem, they provided a rigorous proof only for the case where each individual is uniformly distributed to be identified. In this paper, we investigate the reliability function of the system and show that it behaves in the same way as the well-known random coding error exponent. We also provide an explicit proof of the converse part provided that each individual is not uniformly distributed and the identification process is done without the knowledge of the prior distribution. In particular, we use Arimoto's argument to analyze a lower bound on the error probability, which also leads to the proof of the strong converse theorem for a non-uniform prior distribution.
Keyword (in Japanese) (See Japanese page) 
(in English) biometrical identification system / capacity / error probability / reliability function / strong converse / / /  
Reference Info. IEICE Tech. Rep., vol. 115, no. 37, IT2015-3, pp. 13-18, May 2015.
Paper # IT2015-3 
Date of Issue 2015-05-14 (IT, EMM) 
ISSN Print edition: ISSN 0913-5685    Online edition: ISSN 2432-6380
Copyright
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reproduction
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
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Conference Information
Committee EMM IT  
Conference Date 2015-05-21 - 2015-05-22 
Place (in Japanese) (See Japanese page) 
Place (in English) Kyoto International Community House 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Information Security, Information Theory, Information Hiding, etc. 
Paper Information
Registration To IT 
Conference Code 2015-05-EMM-IT 
Language English (Japanese title is available) 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Analysis on Reliability Function and Strong Converse of Discrete Memoryless Biometrical Identification Systems 
Sub Title (in English)  
Keyword(1) biometrical identification system  
Keyword(2) capacity  
Keyword(3) error probability  
Keyword(4) reliability function  
Keyword(5) strong converse  
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1st Author's Name Yachongka Vamoua  
1st Author's Affiliation The University of Electro-Communications (Univ. of Electro-Comm.)
2nd Author's Name Hideki Yagi  
2nd Author's Affiliation The University of Electro-Communications (Univ. of Electro-Comm.)
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Speaker Author-1 
Date Time 2015-05-21 11:05:00 
Presentation Time 25 minutes 
Registration for IT 
Paper # IT2015-3, EMM2015-3 
Volume (vol) vol.115 
Number (no) no.37(IT), no.38(EMM) 
Page pp.13-18 
#Pages
Date of Issue 2015-05-14 (IT, EMM) 


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