CPC G06V 10/82 (2022.01) [G06F 18/217 (2023.01); G06V 30/18057 (2022.01); G06V 30/10 (2022.01)] | 20 Claims |
1. A method, comprising:
receiving, by a computer system, a grapheme image;
computing a feature vector representing the grapheme image in a space of image features;
computing a confidence vector associated with the grapheme image, wherein each element of the confidence vector is produced by a monotonically decreasing function of a distance, in the space of image features, between the feature vector and a center of a class of a set of classes, wherein the monotonically decreasing function is based on a series of predefined confidence values, such that intervals between the predefined confidence values increase towards a lowest confidence value;
identifying an element having a maximum value among elements of the confidence vector; and
associating the grapheme image with a grapheme class corresponding to the identified element of the confidence vector.
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