[image 02028] fyi, 50 years of biometric research: Accomplishments, challenges, and opportunities

[Shizuo Sakamoto]

＃重複受信ご容赦くださいませ。

　ＮＥＣの坂本です。どうもお世話になります。


　ミシガン州立大学のAnil Jain名誉教授が掲題の論文を出されておられます。既
にお読みの方もおられるとは存じますが、Jain先生より日本のコミュニティにぜひ
紹介してほしいとのこと連絡を受けましたので、下記ご紹介させていただきます。
よろしくお願いいたします。

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Biometric recognition refers to the automated recognition of individuals
based on their biological and behavioral characteristics such as fingerprint,
face, iris, and voice. The first scientific paper on automated fingerprint
matching was published by Mitchell Trauring in the journal Nature in 1963.
The first objective of this paper is to document the significant progress
that has been achieved in the field of biometric recognition in the past 50
years since Trauring’s landmark paper. This progress has enabled current
state-of-the-art biometric systems to accurately recognize individuals
based on biometric trait(s) acquired un- der controlled environmental
conditions from cooperative users. Despite this progress, a number of
challenging issues continue to inhibit the full potential of biometrics to
automatically recognize humans. The second objective of this paper is to
enlist such challenges, analyze the solutions proposed to overcome them, and
highlight the research opportunities in this field. One of the foremost
challenges is the design of robust algorithms for representing and matching
biometric samples obtained from uncooperative subjects under unconstrained
environmental conditions (e.g., recognizing faces in a crowd). In addition,
fundamental questions such as the distinctiveness and persistence of biometric
traits need greater attention. Problems related to the security of biometric
data and robustness of the biometric system against spoofing and obfuscation
attacks, also remain unsolved. Finally, larger system-level issues like
usability, user privacy concerns, integration with the end application, and
return on investment have not been adequately addressed. Unlocking the full
potential of biometrics through inter-disciplinary research in the above areas
will not only lead to widespread adoption of this promising technology, but
will also result in wider user acceptance and societal impact.
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http://www.cse.msu.edu/rgroups/biometrics/Publications/GeneralBiometrics/JainNandakumarRoss_50Years_PRL2016.pdf

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  SAKAMOTO Shizuo, Dr., <s-sakamoto ＠ bu.jp.nec.com>
  Second Government and Public Solutions Division, NEC Corporation
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