OPTICAL CHARACTER RECOGNITION OF IMAGE SERIES Russian patent published in 2017 - IPC G06T1/00 G06F17/28 G06K9/56 G06K9/60 G06K9/72 

Abstract RU 2619712 C1

FIELD: physics.

SUBSTANCE: method for analysing the results of recognition of a series of images is proposed. The method comprises the step of obtaining a current image from a series of images of the original document, the current image, at least partially overlapping the previous image from the series of images. The optical character recognition (OCR) of the current image is performed to receive the recognized text and the its corresponding text markup. Also, using the recognized text and the corresponding markup of text, a plurality of textual artifacts for each current image and a previous image are determined, each text artifact is represented by a symbolic sequence that has a frequency of occurrence in the recognized text below the threshold frequency.

EFFECT: improving the quality of optical character recognition by determining the order of clusters of symbolic sequences by determining the median permutations of clusters of symbolic sequences.

21 cl, 11 dwg

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RU 2 619 712 C1

Authors

Kalyuzhny Aleksey Ivanovich

Dates

2017-05-17Published

2016-05-13Filed