Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the wp-maximum-upload-file-size domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /var/www/lmi_wordpress/wp-includes/functions.php on line 6114

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the updraftplus domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /var/www/lmi_wordpress/wp-includes/functions.php on line 6114

Notice: Function _load_textdomain_just_in_time was called incorrectly. Translation loading for the polylang domain was triggered too early. This is usually an indicator for some code in the plugin or theme running too early. Translations should be loaded at the init action or later. Please see Debugging in WordPress for more information. (This message was added in version 6.7.0.) in /var/www/lmi_wordpress/wp-includes/functions.php on line 6114
November 2019: New chapter published in the Handbook on Vascular Biometrics (Springer) – Laboratory for Machine Intelligence

November 2019: New chapter published in the Handbook on Vascular Biometrics (Springer)

News

New chapter on sclera biometrics published in the Handbook on Vascular Biometrics (Springer). The chapter and handbook are published in open access: https://lnkd.in/giRK_zZ

In the chapter we present new models for personal recognition based on the vasculature of the sclera and introduce a novel (publicly available) dataset (SBVPI) of ocular images that can be used for research in sclera biometrics. For more information visit: https://lnkd.in/gRP2J5w

The chapter is joint work with Peter Rot, Matej Vitek, Klemen Grm, Žiga Emeršič and Peter Peer.

Figure 1: Block scheme of the segmentation model presented in the chapter