<html>
<head>
<meta http-equiv="content-type" content="text/html; charset=UTF-8">
</head>
<body>
<p> </p>
<div class="moz-forward-container">
<p><span style="font-size: 13.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color: rgb(0.000000%,
43.921570%, 75.294120%)">Special Session on Advances in Deep
Learning for Biometrics and Forensics </span></p>
<div class="moz-forward-container">
<div class="moz-forward-container">
<div class="page" title="Page 1">
<div class="layoutArea">
<div class="column">
<p><span style="font-size: 11.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color:
rgb(23.137260%, 21.960780%, 21.960780%)">The 29</span><span
style="font-size: 7.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color:
rgb(23.137260%, 21.960780%, 21.960780%);
vertical-align: 5.000000pt">th </span><span
style="font-size: 11.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color:
rgb(23.137260%, 21.960780%, 21.960780%)">International
Conference on Neural Information Processing (ICONIP
2022) </span></p>
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'; color: rgb(23.137260%,
21.960780%, 21.960780%)">November 22-26, 2022, New
Delhi, India (</span><span style="font-size:
10.000000pt; font-family: 'TimesNewRomanPS';
font-style: italic; color: rgb(23.137260%,
21.960780%, 21.960780%)">hybrid mode</span><span
style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'; color: rgb(23.137260%,
21.960780%, 21.960780%)">) </span></p>
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color:
rgb(0.000000%, 43.921570%, 75.294120%)">Scope and
Aim </span></p>
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">The biometric is a growing
technology due to the needs of the society,
companies and governments for recognition, security
and privacy concerns. It has also become a growing
research area that offers greater security and
convenience solutions for various applications in
biometrics and forensics areas. </span></p>
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Methods and algorithms from
data science are widely explored and used to address
several problems in many fields such as biometrics
and forensics. In this context, the advances in
artificial intelligence, in particular in feature
engineering and deep learning, have allowed to
resolve various complex problems related to
recognition, detection, control, security, forensic
identification, etc. </span></p>
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Indeed, most of biometric
systems are based on a typical representation,
including biometric data preprocessing, feature
extraction, and classification parts. Deep learning
offers an end-to-end learning paradigm allowing to
unify these parts. It has been shown to be a
promising and powerful alternative to conventional
approaches based on machine learning. </span></p>
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">This special session aims to
bring together researchers, scientists and industry
professionals interested in biometrics and forensic,
to present and discuss their recent advanced
algorithms and methods in deep learning for
biometrics and its applications. </span></p>
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color:
rgb(0.000000%, 43.921570%, 75.294120%)">Topics </span></p>
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">The main topics that are of
interest to this special session include, but are
not limited to, the following: </span></p>
<ul style="list-style-type: disc">
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Deep learning for
biometrics and/or forensics </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Biometric recognition
(authentication and identification) </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Physiological and
behavioral biometrics (e.g., fingerprint,
palmprint, palm vein, face, iris, ear, gait,
voice, etc.) </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Soft biometrics </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Multimodal biometrics </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Big Data challenges in
biometrics </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Attacks to biometric
systems </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Security and privacy in
biometrics </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Forensic identification </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Emerging biometrics </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Related applications </span></p>
</li>
</ul>
<span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color:
rgb(0.000000%, 43.921570%, 75.294120%)">Important
Dates </span><br>
<ul style="list-style-type: disc">
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Paper submission deadline:
</span><span style="font-size: 10.000000pt;
font-family: 'TimesNewRomanPS'; font-weight:
700">June 15, 2022 </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Paper acceptance
notification: </span><span style="font-size:
10.000000pt; font-family: 'TimesNewRomanPS';
font-weight: 700">August 15, 2022 </span></p>
</li>
<li style="font-size: 10.000000pt; font-family:
'SymbolMT'">
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Conference: </span><span
style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700">November
22-26, 2022 – New Delhi, India </span></p>
<span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color:
rgb(0.000000%, 43.921570%, 75.294120%)"></span></li>
</ul>
<span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color:
rgb(0.000000%, 43.921570%, 75.294120%)">Submission
Guidelines</span><span style="font-size: 10.000000pt;
font-family: 'TimesNewRomanPSMT'"><br>
</span></div>
<div class="column"><span style="font-size: 10.000000pt;
font-family: 'TimesNewRomanPSMT'"><br>
</span></div>
<div class="column"><span style="font-size: 10.000000pt;
font-family: 'TimesNewRomanPSMT'">Papers submitted to
this Special Session are reviewed according to the
same rules as the submissions to the regular sessions
of ICONIP 2022. Authors who submit papers to this
session are invited to mention it in the form during
the submission. Submissions to regular and special
sessions follow identical format, instructions,
deadlines and procedures of the other papers. Click
here to information paper submission: </span><span
style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'; color: rgb(0.000000%, 0.000000%,
100.000000%)"><a class="moz-txt-link-freetext"
href="https://www.iconip2022.apnns.org/camara_ready_submission.php"
moz-do-not-send="true">https://www.iconip2022.apnns.org/camara_ready_submission.php</a>
</span><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'">Please, for further information
and news refer to the ICONIP website: </span><span
style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'; color: rgb(0.000000%, 0.000000%,
100.000000%)"><a class="moz-txt-link-freetext"
href="https://www.iconip2022.apnns.org"
moz-do-not-send="true">https://www.iconip2022.apnns.org</a>
</span><br>
<span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color:
rgb(0.000000%, 43.921570%, 75.294120%)"></span><br>
<span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700; color:
rgb(0.000000%, 43.921570%, 75.294120%)">Organizers </span><span
style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700"><br>
</span></div>
<div class="column"><span style="font-size: 10.000000pt;
font-family: 'TimesNewRomanPS'; font-weight: 700"><br>
</span></div>
<div class="column"><span style="font-size: 10.000000pt;
font-family: 'TimesNewRomanPS'; font-weight: 700">Larbi
Boubchir</span><span style="font-size: 10.000000pt;
font-family: 'TimesNewRomanPS'; font-style: italic">,
Full Professor, LIASD research Lab., University of
Paris 8, France </span><span style="font-size:
10.000000pt; font-family: 'TimesNewRomanPSMT'">(contact:
</span><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPSMT'; color: rgb(0.000000%, 0.000000%,
100.000000%)"><a class="moz-txt-link-abbreviated
moz-txt-link-freetext"
href="mailto:larbi.boubchir@univ-paris8.fr"
moz-do-not-send="true">larbi.boubchir@univ-paris8.fr</a>) </span><span
style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700"></span><span
style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700"></span><span
style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700"></span>
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700">Boubaker Daachi</span><span
style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-weight: 700"></span><span
style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-style: italic">, Full
Professor, LIASD research Lab., University of Paris
8, France <br>
</span></p>
<p><span style="font-size: 10.000000pt; font-family:
'TimesNewRomanPS'; font-style: italic"><br>
</span></p>
</div>
</div>
</div>
</div>
</div>
</div>
</body>
</html>