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<p style="margin-top:0; margin-bottom:0"><span style="font-family:Verdana,Arial,Helvetica,sans-serif; font-size:11pt">Dear Colleagues,</span></p>
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<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
We would like to invite you to contribute a chapter for the upcoming volume entitled <em><strong>Deep Biometrics</strong></em> to be published by Springer, the largest global scientific, technical, and medical ebook publisher. The volume will be available both
in print and in ebook format by late 2018/early 2019 on SpringerLink, one of the leading science portals that includes more than 8 million documents, an ebook collection with more than 160,000 titles, journal archives digitized back to the first issues in
the 1840s, and more than 30,000 protocols and 290 reference works.</p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
Below is a short description of the volume:</p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
Recent development in machine learning, particularly deep learning, has brought out drastic impact on Biometrics, which is a classic topic to utilize Machine Learning for biometric identification. Particularly, Deep Learning can benefit from the training with
large unlabelled datasets via semi-supervised or unsupervised learning.</p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
This book aims to highlight recent research advances in biometrics using semi-supervised and unsupervised new methods such as Deep Neural Networks, Deep Stacked Autoencoder, Convolutional Neural Networks, Generative Adversary Networks, and so on, and exploit
these new methods in the emerging new areas such as privacy and security issues, cancellable biometrics and soft biometrics, smart cities, big biometric data, biometric banking, medical biometrics, and healthcare biometrics, etc..</p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
The goal of this volume is to summarize the recent advances in using Deep Learning in the area of biometric security and privacy. Topics of interest include: (but not limited to)</p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
Deep Learned Biometric Features<br>
Convolutional Neural networks<br>
Deep Stacked Autoencoder<br>
Biometrics in Cybersecurity<br>
Biometrics in Cognitive Robot<br>
Healthcare Biometrics<br>
Medical Biometrics<br>
Biometrics in Social Computing<br>
Privacy and Security Issues<br>
Deep Face Detection<br>
Deep Face Recognition<br>
Iris, Fingerprints, DNA, Palmprints<br>
Gait, EEG, Heart rates<br>
Multimodal Fusion<br>
Soft Biometrics<br>
Cancellable Biometrics with Deep Learning<br>
Big data issues in Biometrics<br>
Biometrics for Internet of things</p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
Each contributed chapter is expected to present a novel research study, a comparative study, or a survey of the literature. Note that there will be no publication fees for accepted chapters.</p>
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<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
Important Dates</p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
Submission of abstracts Nov 15, 2018<br>
Notification of initial editorial decisions Nov 20, 2018<br>
Submission of full-length chapters Dec 15, 2018<br>
Notification of final editorial decisions Jan 15, 2019<br>
Submission of revised chapters Feb 15, 2019</p>
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<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
All submissions should be done via EasyChair:</p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
<a href="https://easychair.org/conferences/?conf=deepbio2019" id="LPlnk972114" class="x_OWAAutoLink" previewremoved="true">https://easychair.org/conferences/?conf=deepbio2019</a></p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
Original artwork and a signed copyright release form will be required for all accepted chapters. For author instructions, please visit:</p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
<a target="_blank" href="http://www.google.com/url?q=http%3A%2F%2Fwww.springer.com%2Fauthors%2Fbook%2Bauthors%3FSGWID%3D0-154102-12-417900-0&sa=D&sntz=1&usg=AFQjCNHN0YBP4u2cmYXIB6_4J17BG8OFCg" id="LPlnk962886" class="x_OWAAutoLink" previewremoved="true">http://www.springer.com/authors/book+authors?SGWID=0-154102-12-417900-0</a></p>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
Please feel free to contact us via email (<a target="_blank" href="mailto:perceptualscience@outlook.com" id="LPlnk311405" class="x_OWAAutoLink" previewremoved="true">perceptualscience@outlook.com</a>, or any editors below) regarding your chapter ideas.</p>
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Editorial Board</h2>
<ul style="max-width:650pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif; font-size:13px">
<li style="font-size:11pt"><span style="font-size:10pt"><span style="font-family:"Times New Roman",serif"><strong>Dr Richard Jiang</strong></span></span><br>
<span style="font-size:10pt"><span style="font-family:"Times New Roman",serif">Computer and Information Sciences,<br>
Northumbria University, United Kingdom<br>
Web: <a href="http://bit.ly/2n5glEx" id="LPlnk42467" class="x_OWAAutoLink" previewremoved="true">http://bit.ly/2n5glEx</a> </span><br>
</span></li><li style="font-size:11pt"><span style="font-size:11pt"><span style="font-size:10pt"><span style="font-family:"Times New Roman",serif"><strong>Dr Weizhi Meng</strong></span></span></span><br>
<span style="font-size:10pt"><span style="font-family:"Times New Roman",serif">Applied Mathematics & Computer Science</span></span><br>
<span style="font-size:10pt"><span style="font-family:"Times New Roman",serif">Technical University of Denmark, Denmark</span></span></li><li style="font-size:11pt"><strong><span style="font-size:10pt"><span style="font-family:"Times New Roman",serif">Professor Chang-Tsun Li</span></span></strong><br>
<span style="font-size:10pt"><span style="font-family:"Times New Roman",serif">School of Computing and Mathematics,<br>
Charles Sturt University, Australia</span></span></li><li style="font-size:11pt"><span style="font-size:11pt"><span style="font-size:10pt"><span style="font-family:"Times New Roman",serif"><strong>Professor Christophe Rosenberger</strong></span></span></span><br>
<span style="font-size:10pt"><span style="font-family:"Times New Roman",serif">Computer Security</span></span><br>
<span style="font-size:10pt"><span style="font-family:"Times New Roman",serif">ENSICAEN GREYC, France</span></span></li></ul>
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Contact</h2>
<p style="margin:3pt 0pt; max-width:650pt; font-size:11pt; padding-bottom:5pt; font-family:Verdana,Arial,Helvetica,sans-serif">
All questions about submissions can be emailed to Dr Richard Jiang (<a href="mailto:perceptualscience@outlook.com" target="_blank" id="LPlnk993147" class="x_OWAAutoLink" previewremoved="true">perceptualscience@outlook.com</a>, or <a href="mailto:richard.jiang@unn.ac.uk" id="LPlnk245612" class="x_OWAAutoLink" previewremoved="true">richard.jiang@unn.ac.uk</a>).</p>
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