Ao Kaspersky Lab

Alexander V Sharov

Ilya A Tereshchenko

Dmitry S Dorogoy

Alexander A Tuzovsky

The present disclosure is directed to methods and systems for training a classifier for determining the category of a document. In an exemplary aspect, a method comprises obtaining one or more documents belonging to a first category as a training sample for a classifier, determining objects contained in each of the one or more documents, forming, by a hardware processor, a set of features consisting of the objects, constructing the classifier by selecting a classification model and training the classifier based on the set of features, obtaining additional documents belonging to the first category, calculating an error of classification of the additional documents using the classifier and when the error exceeds a given value, obtaining a second set of documents belonging to the first category or one or more new categories, otherwise, determining that the classifier is complete.

System and method of training a classifier for determining the category of a document

Disclosed herein are systems and methods for identifying images containing a personal identifying document. In one aspect, an exemplary method comprises obtaining a first set of images by selecting images from a stream of images in an arbitrary sequence, determining images in the first set of images that contain documents, generating a second set of images by excluding from the first set of images those images that do not contain documents, determining images in the second set of images that contain basic structural elements of an identification document, generating a third set of images by excluding from the second set of images those images which do not contain basic structural elements of an identification document and identifying from the generated third set of images, at least one image containing at least one identification document based on rules of determination.

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Moscow, Russia

Alexander V Sharov