Patent Leaderboard
USPTO Patent Rankings Data through Dec 31, 2025
Home › Method for extracting a feature vector from an input image representative of an iris by means of an end-to-end trainable neural network

Method for extracting a feature vector from an input image representative of an iris by means of an end-to-end trainable neural network

US Patent 11263437 · Granted Mar 1, 2022

Assignee

Inventors

View full patent text on Google Patents →

More Patents by These Inventors

Method for matching an image of a palm of an individual with at least one image 2023
Method for augmenting a training image base representing a print on a background2023
Method for augmenting a training image base representing a print on a background2023
Parameter training method for a convolutional neural network2023
Parameter training method for a convolutional neural network2023
Method of classification of an input image representative of a biometric trait b2022
Method of classification of an input image representative of a biometric trait b2022
Method for biometric recognition from irises2021
Method of extracting features from a fingerprint represented by an input image2021
Method for reconstructing an imprint image from image portions2021
Method of detecting fraud during iris recognition2021
Method of detecting fraud of an iris recognition system2020