Abstract: Methods and distributed computer devices for automatically determining whether a document is genuine. The method involves generating an image of the document, pre-processing of the image to obtain at least one segment of the image with an area of interest and dividing the at least one segment into portions containing single characters and/or combinations of characters. A validation of at least two single characters and/or at least two combinations of characters is performed for each of the single character and/or character combinations for at least two different categories. Score values are created for each category for each validated single character and/or character combination. Feature vectors are created for each single character and/or character combination, with the respective score values for each category as components. The method involves classifying the feature vectors to determine whether the single character or character combination to which the feature vector is associated is genuine.

Abstract: A seamless login experience can be provided in a companion mobile application. When a user launches a mobile app on his mobile computing device, a login handler of the mobile app can establish a proximity channel with a user computing device on which the user is logged into a desktop application for which the mobile app is a companion application. The login handler can send a mobile user ID to a login plugin on the user computing device. If the mobile user ID matches a user ID used to log the user into the desktop application, the login plugin can provide a token to the login handler. The login handler can then use the token to obtain a session token that can be used to log the user into the mobile app.

Abstract: Methods and distributed computer devices for automatically determining whether a document is genuine. The method involves generating an image of the document, pre-processing of the image to obtain at least one segment of the image with an area of interest and dividing the at least one segment into portions containing single characters and/or combinations of characters. A validation of at least two single characters and/or at least two combinations of characters is performed for each of the single character and/or character combinations for at least two different categories. Score values are created for each category for each validated single character and/or character combination. Feature vectors are created for each single character and/or character combination, with the respective score values for each category as components. The method involves classifying the feature vectors to determine whether the single character or character combination to which the feature vector is associated is genuine.

Abstract: The subject disclosure provides a computer-implemented method and computer system for use in navigating in a facility. For example, the computer-implemented method comprises: receiving, from a camera, at least one image; estimating, by a processor, a current location of the camera in the facility based on the at least one image and model data of the facility; generating, by the processor, a virtual path from the current location of the camera to a destination location in the facility using the model data of the facility; and generating and outputting navigation information to the destination location according to the virtual path.