US 11,715,288 B2
Optical character recognition using specialized confidence functions
Aleksey Zhuravlev, Yaroslavl (RU)
Assigned to ABBYY DEVELOPMENT INC., Dover, DE (US)
Filed by ABBYY Development Inc., Dover, DE (US)
Filed on Oct. 5, 2021, as Appl. No. 17/494,481.
Application 17/494,481 is a continuation of application No. 16/178,987, filed on Nov. 2, 2018, granted, now 11,164,035.
Claims priority of application No. RU2018138377 (RU), filed on Oct. 31, 2018.
Prior Publication US 2022/0027662 A1, Jan. 27, 2022
This patent is subject to a terminal disclaimer.
Int. Cl. G06V 10/82 (2022.01); G06F 18/21 (2023.01); G06V 30/18 (2022.01); G06V 30/10 (2022.01)
CPC G06V 10/82 (2022.01) [G06F 18/217 (2023.01); G06V 30/18057 (2022.01); G06V 30/10 (2022.01)] 20 Claims
OG exemplary drawing
 
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.