{"id":2,"date":"2023-05-31T07:56:50","date_gmt":"2023-05-31T05:56:50","guid":{"rendered":"https:\/\/sites.unica.it\/livdet\/?page_id=2"},"modified":"2025-02-27T19:44:07","modified_gmt":"2025-02-27T18:44:07","slug":"home","status":"publish","type":"page","link":"https:\/\/sites.unica.it\/livdet\/","title":{"rendered":"LivDet 2025"},"content":{"rendered":"\t\t
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The\u00a0Department of Electrical and Electronic Engineering<\/a>\u00a0of the\u00a0University of Cagliari<\/a>, the da\/sec Group<\/a> of the Hochschule Darmstadt <\/a>and the\u00a0Department of Electrical and Computer Engineering<\/a>\u00a0of the\u00a0Clarkson University<\/a>\u00a0are proud to announce the\u00a0nineth\u00a0edition of the Fingerprint Liveness Detection Competition<\/strong>.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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Spoofing – <\/strong>The widespread use of personal verification systems based on fingerprints has shown some weaknesses related to the problem of security. Among the others, it is well-known that a fingerprint verification system can be deceived by submitting artificial reproductions of fingerprints made up of silicon or gelatine to the electronic capture device (optical, capacitive, etc…). These images are then processed as \u201ctrue\u201d fingerprints.<\/p>\n

Liveness Detection – <\/strong>Therefore, a recent issue in the field of security in fingerprint verification (unsupervised especially) is known as \u201cliveness detection\u201d or “presentation attack detection” (PAD). The standard verification system is coupled with additional hardware or software modules aimed to certify the authenticity of the submitted fingerprints. Whilst hardware-based solutions are the most expensive, software-based ones attempt to measure liveness from characteristics of images themselves by simply applying image processing algorithms.<\/p>\n

Software Liveness Classification – <\/strong>The problem of vitality detection is treated as a two-class classification problem (live or fake). An appropriate classifier is designed in order to extract the probability of the image vitality given the extracted set of features. LivDet2025 competition is open to all academic and industrial institutions which have a solution for software-based fingerprint recognition and liveness detection. <\/p>\n

Contact and contactless solutions <\/b>– As the world moves towards more versatile and user-friendly security solutions, there is a great demand for advancements in both contact and contactless fingerprint sensors. Recognising this trend, LivDet2025 is committed to fostering innovation that bridges the gap between traditional contact-based systems and the new field of contactless fingerprint technology. This competition will focus on finger captured from fingerprint sensors and smartphones.<\/p>\n

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LivDet 2025 Competition Overview – This edition of LivDet 2025 has three challenges, applicable to both contact and contactless solutions<\/h4>\n