English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

Face recognition is widely employed in Automated Border Control (ABC) gates,which verify the face image on passport or electronic Machine Readable TravelDocument (eMTRD) against the captured image to confirm the identity of thepassport holder. In this paper, we present a robust morph detection algorithmthat is based on differential morph detection. The proposed method decomposesthe bona fide image captured from the ABC gate and the digital face imageextracted from the eMRTD into the diffuse reconstructed image and a quantizednormal map. The extracted features are further used to learn a linearclassifier (SVM) to detect a morphing attack based on the assessment ofdifferences between the bona fide image from the ABC gate and the digital faceimage extracted from the passport. Owing to the availability of multiplecameras within an ABC gate, we extend the proposed method to fuse theclassification scores to generate the final decision on morph-attack-detection.To validate our proposed algorithm, we create a morph attack database withoverall 588 images, where bona fide are captured in an indoor lightingenvironment with a Canon DSLR Camera with one sample per subject andcorrespondingly images from ABC gates. We benchmark our proposed method withthe existing state-of-the-art and can state that the new approach significantlyoutperforms previous approaches in the ABC gate scenario.

Robust Morph-Detection at Automated Border Control Gate using Deep Decomposed 3D Shape and Diffuse Reflectance