Patent ID: 11875597
Assignee: IDENTY INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 0:
1. A method comprising:
obtaining, by a processing device from an optical sensor of a mobile device, an image;
processing, by the processing device, the image by using a neural network to identify an object in the image and a position of the object in the image, thereby obtaining an identified object, wherein processing the image as input by the neural network comprises processing, by a first layer of the neural network, the input to create a first intermediate output and processing, by each following layer, an output of a preceding layer, wherein the neural network comprises a plurality of layers, each layer being a depthwise separable convolution comprising, in processing order of the input within the layer, a depthwise convolutional layer, a first batch normalizer, a first rectified linear unit, a pointwise convolutional layer, a second batch normalizer and a second rectified linear unit, and wherein by processing the input using the plurality of layers, the neural network obtains, as an output, an identification of the object and the position of the object within the image;
after processing the image, extracting, by the processing device from the identified object, a biometric characteristic; and
providing, by the processing device, at least the biometric characteristic as input to determine whether the biometric characteristic identifies a user.