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MICHE I
MICHE II
BIPLab
Contact:
BIPLab - Biometric and
Image Processing Lab
University of Salerno,
via Ponte Don Melillo,
84084 Fisciano (SA), Italy
cgaldi@unisa.it
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MICHE
Mobile Iris CHallenge Evaluation
Mobile biometric technologies are nowadays the new frontier for secure use of data and services. Mobile biometric identification devices extend the functionality and capabilities of a traditional biometric identification system, by allowing capture of biometric traits in any place, and compare them against a biometric database, either stored locally on the device, or remotely in a central authentication system. Furthermore, captured information can also be compared with that stored within RFID tags, or smartcards or recent machine readable identification documents (IDs).
Mobile biometric identification devices must be designed for intuitive operation, and incorporate all necessary equipment for the capture of one or more biometric traits. The captured data is converted by software into digital templates for storage and matching against other records, which are held in either a local or remote database. It is to consider that, notwithstanding the continuous advances in technology and resources, the ability to transfer all the phases of biometric processing on a mobile device calls for faster as well as lighter procedures, and for a more efficient storage strategy.
Iris is a natural candidate for mobile biometric recognition for two main reasons: iris acquisition is little intrusive, and iris codes are among the less expensive templates from the storage point of view. However, present techniques must be suitably adapted to the mobile setting. These include detection, segmentation and coding, as well as matching steps. This special issue aims at collecting the most relevant contributions to the field in both academy and industry.
Prospective authors can submit their results related to one or all of the above steps performed on a mobile device (smartphone or tablet), and are required to provide the dataset they used for their experiments as well as the characteristics of the devices used for acquisition and testing. Also, the first Special Issue, namely MICHE I, aims to promote the “reproducible research” issue.
Topic of interested include but are not limited to:
- Iris detection on mobile devices;
- Iris segmentation on mobile devices;
- Iris biometric recognition on mobile devices;
- Applications of iris biometrics on mobile devices.
MICHE I IMPORTANT DATES (FIRST CALL FOR PAPER)
Deadline for the submission to the first special issue and for dataset upload: 20 March 2014
First notification: July 15, 2014
Revised manuscript submission: September 15, 2014
Notification of final decision: November 1, 2014
In a second phase, namely MICHE II, the collected datasets will be used to build an integrated test-bed for a challenge which will be accessible for both original authors and new groups. Even in this phase, all participants will have to submit a software implementation of the proposed methods, together with all the parameterizations required to execute the software, and descriptive metadata that will be detailed in the upload page. The participants that achieve the best 8 results are invited to submit a paper to the second Special Issue.
MICHE II IMPORTANT DATES (SECOND CALL FOR PAPER)
Deadline for submission of applications to mobile challenge: 30 May 2015
Deadline for the submission to the second special issue: 20 December 2015
Paper submission:
Papers must be submitted online via the Pattern Recognition Letters website (http://ees.elsevier.com/patrec/), selecting the choice that indicates this special issue (identifier: 'MICHE-I' / 'MICHE-II'). Prepare your paper following the Journal guidelines for Authors (http://www.elsevier.com/wps/find/journaldescription.cws_home/505619/authorinstructions), which include specifications for submissions aimed at Special Issues. In particular, a maximum of 7500 words is admitted for special issue papers, without counting the References (plus at most 10 Figures/Tables in total). Priority will be given to the papers with high novelty and originality.
Maria De Marsico
Sapienza University of Rome
Roma, Italy
demarsico@di.uniroma1.it
Michele Nappi
University of Salerno
Fisciano (SA) 84084, Italy
mnappi@unisa.it
Hugo Proença
University of Beira Interior
6201-001 Covilhã, Portugal
hugomcp@di.ubi.pt
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