CPC G06V 40/1365 (2022.01) [G06N 3/08 (2013.01); G06V 10/25 (2022.01); G06V 40/1318 (2022.01)] | 17 Claims |
1. A method comprising:
obtaining, by a processor from an optical sensor of a mobile device, an image of an object;
processing, by the processor, the image using a neural network, wherein processing the image comprises distinguishing, using the neural network, a first portion of the image comprising a region of interest, ROI, from a second portion of the image;
after processing the image, extracting, by the processor, the ROI from the image;
extracting, by the processor, a biometric characteristic of the object from the ROI; and
processing, by the processor, the biometric characteristic of the object to determine whether the biometric characteristic of the object identifies a user, wherein processing the image comprises processing the image by an encoder to obtain an encoded image and processing the encoded image by a decoder to obtain a decoded output image, wherein processing the image comprises distinguishing a first portion of the decoded output image from a second portion of the decoded output image, wherein, in the decoded image, each pixel has a value x∈]−∞; +∞[ and, before distinguishing of the first portion of the decoded image from the second portion of the decoded image, an activation function
is applied to each pixel in the decoded image and a normalized value x=S(x) is associated with each pixel in the decoded image, wherein the distinguishing is performed on the pixels with the values x.
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