In a method for rotating photos, an orientation flag value of a photo is obtained when the photo is viewed by a user of the electronic device. A rotational value of the photo is determined according to the obtained orientation flag value. The photo is rotated according to the determined rotational value when the photo is displayed on a display screen of the electronic device.

Method and system for reading and validating identity documents that involves acquiring an image of a first and/or a second side of an identity document using a camera of a portable device; recognizing whether MRZ characters exist or are readable in the acquired image; if said MRZ characters are readable or do exist reading them obtaining a pre-identified document, or otherwise, detecting a series of local points of interests and their positions on the image calculating descriptors or vectors; and identifying the type or model of said identity document, starting by correcting perspective distortions caused by a bad relative position of the identity document with respect to the camera for obtaining a corrected and substantially rectangular image of the first and/or second side of the document at a predetermined scale which is used to perform, automatically, said identification of the identity document type or model and to automatically read and identify text and non-text information included in said corrected and substantially rectangular image.

A system for collecting data comprising a mobile terminal for capturing a plurality of frames of image data, the mobile terminal having a first imaging assembly and a second imaging assembly, the first imaging assembly for capturing a first frame of image data representing a first object and the second imaging assembly for capturing a second frame of image data representing a second object, wherein the system for use in collecting data is operative for associating first frame information and second frame information, the first frame information including one or more of image data of the first frame of image data and information derived utilizing the image data of the first frame of image data, the second frame information including one or more of image data of the second frame of image data and information derived utilizing the image data of the second frame of image data.

A method performed by a mobile terminal may include displaying an image via a display of the mobile device. A first user selection of a portion of the image is received and text in the selected portion of the image is identified. The identified text is displayed via the display. A second user selection of at least a portion of the identified text is received. The portion of the identified text is translated from a first language into a second language that differs from the first language. The translated text, in the second language, is displayed over the image via the display.

A method including generating position information and time information of a handwriting inputted on a device; generating pixel values of an image capturing the handwriting; generating an image file for facilitating a sequential reproduction of the handwriting by storing the position information and the time information of the handwriting in a first field of the image file and storing the pixel values in a second field of the image file; and transmitting the generated image file to another device.

The invention relates to a method for authenticating a diffractive element, e.g., a hologram, on an object or document (2), wherein at least two images of the diffractive element are recorded by means of a portable device (1). The recordings are taken in different spatial orientations of the portable device in relation to the diffractive element. Recording data are created from the images and the associated spatial orientations. The recording data are electronically compared with reference data. The comparison can be performed locally or in a server-based manner.

This document presents a system and method for generating accurate, specific measurements of garments through the use of a camera associated with a mobile device and transmitting the measurements to relevant third party applications. The camera may capture an image of the garment and based upon metrics associated with the mobile device and camera, calculate the measurements and/or sizing of the garment captured in the camera image. The information may then be transmitted to a third party to assist in the creation of a personalized catalogue of garments that are less likely to be returned by a user for reasons of poor fit.

A method of inputting a series of characters into an electronic device (1) comprising a display (11), the method comprising detecting a first input associated with a first one of a plurality of discrete areas (53) of the display (11) for entering char-deters on the display (11); and recognizing the first input in the first one of the plurality of discrete areas (53) as a character input (59) while a second one of the plurality of discrete are as (53) is operable to detect a second input for recognition as a second character input (59), the. recognition of the second character input (59) occurring separately to the recognition of the first character input (59).

A character input method using a touch screen, in which one or more areas requiring user input is defined in the touch screen, pre-recognized information is defined for each of the defined areas, character information is received by a user in one or more user desired areas among the defined areas, the character information is recognized using a character recognizer, and the recognized character information is updated in the user desired areas.

Systems and techniques for user authentication are described. A portable electronic device can include an imaging sensor and a motion sensor. Multiple images of a face of a user can be acquired by using an imaging sensor. Motion information can be obtained by using a motion sensor. Next, a first motion vector can be determined based on the multiple images, and a second motion vector can be determined based on the motion information. The user can then be authenticated based on (1) determining a similarity measure between the first motion vector and the second motion vector, and (2) performing facial recognition on at least one of the multiple images. Note that the similarity measure can be used to detect a virtual-camera attack. Specifically, authentication can fail if the similarity measure is less than a threshold.