A method for determining the authenticity of an identity document is provided that includes capturing, by an electronic device, image data of an identity document. The identity document has a first side and a second side. The image data includes an image of the first side and an image of the second side. The first side includes data about a person associated with the identity document and second side includes a PDF417 barcode which has features. The method also includes determining a class of the identity document. The features of the PDF417 barcode adhere to criteria established for the determined class of the identity document. Moreover, the method includes analyzing the features of the PDF417 barcode for anomalies. In response to determining the features of the PDF417 barcode are free of anomalies, the identity document is determined to be authentic. Otherwise, the identity document is determined to be fraudulent.

A method and a system for identifying tools intended for tools comprising a marking provided with at least one optically readable symbol. The system comprises, in particular, one or more image capture devices covering a checking area and a calculator. Several tools are positioned by an operator in the checking area, then an image of the checking area is captured by each image capture device. Next, at least one complete symbol is detected in at least one image by an image processing operation carried out by the calculator, and one or more detected tools corresponding respectively to a detected complete symbol are identified. Finally, a list comprising each detected tool is determined.

A first computing device of a multi-part code system includes one or more optical scanners and a network application associated with a network computing device of the multi-part code system. The network application is operable to obtain a second portion of a code associated with a second computing device. The network computing device generated the code for an interaction between the first and second computing device. The network application is further operable to display the second portion of the code on a display area of an interactive display, receive a first portion of the code, and instruct a user to drag the first portion of the code to the display area to align with the second portion of the code. When the first and second portions of the code are aligned, the network application produces the code and sends a finalized interaction notification to the network computing device.

There is provided a barcode detection device including an image sensor and a processor. The image sensor captures an image frame of a barcode. The processor calculates a gradient vector of bars of the barcode in the image frame for determining a rotation angle of the image sensor. The rotation angle is used to calibrate a detected bar width.

A method of identifying an item includes: capturing by a camera an image of the item, searching in the image a predefined dot start and end codes, determining in the image directions of the predefined dot start and end codes, interpolating in the image a reading line to extend from the predefined dot start code to the predefined dot end code, where a direction of the reading line at the predefined dot start code corresponds to the direction of the predefined dot start code, where the direction of the reading line at the predefined dot end code corresponds to the direction of the predefined dot end code, reading along the reading line the dots from the image, and deriving the identification code from the dots as read along the reading line between the predefined dot start code and the predefined dot end code.

Disclosed in the present specification is a self-checkout device to which hybrid product recognition technology is applied and which helps a user to more conveniently and quickly make a payment. The self-checkout device according to the present specification photographs a product with a plurality of cameras, and then recognizes a barcode by detecting a barcode region from the captured images and, simultaneously, extracts a feature point of the images such that a product can be recognized through the calculation of the proportion that matches with a reference image of the product. Thus, a product can be quickly recognized through barcode recognition and packaging paper recognition in a product image.

A content code is defined containing user content, and a corresponding profile code defining user context information. The profile code may be scanned and stored temporarily in a user device or elsewhere. The user content can then be modified on the basis of the stored context information. In some cases the context code and profile code may be separate, so that a given profile code may be applied to diverse pieces of content, or may be combined. The stored context information may be undated or modified when particular events, such as re-scanning a code, occur. The codes may comprise binary codes, such that the profile code and the content code can be compared by a logical operation. Embodiments include a mechanism for presenting different notice information to different users on the basis of their profile codes, implementing a game such that the number of attempts are counted by refreshing the stored version of the profile code, and identifying cases where a list of ingredients stored in the context codes matches an ingredient corresponding to an allergy, intolerance or the like as specified in the profile code.

Embodiments of the disclosure relate generally to imaging devices and indicia reading devices. An imaging apparatus comprises an image sensor, an optical window positioned in front of the image sensor and a light source enclosing a perimeter of the optical window such that an illumination cone of the light source overlaps a portion of a near field of view cone of the imaging apparatus. The portion of the near field of view cone extends from a surface of the optical window to a threshold distance from the optical window. The light source is configured to produce a first illumination along a first direction extending towards a scene to be imaged.

Disclosed are a method and device for recognizing a two-dimensional bar code for improving the efficiency of recognizing the two-dimensional bar code. The method comprises: a relative position of a household appliance and a terminal device is determined during network configuration of the household appliance; a display parameter for displaying the two-dimensional bar code is determined according to the relative position, wherein the display parameter comprises a size of the two-dimensional bar code to be displayed and the two-dimensional bar code carries device information of the household appliance; the display parameter is sent to the household appliance to enable the household appliance to display a two-dimensional bar code picture according to the display parameter; and the two-dimensional bar code picture is recognized to obtain the device information of the household appliance.

A system or method can analyze symbols on a set of objects having different sizes. The system can identify a characteristic object dimension corresponding to the set of objects. An image of a first object can be received, and, a first virtual object boundary feature (e.g., edge) in the image can be identified for the first object based on the characteristic object dimension. A first symbol can be identified in the image, and whether the first symbol is positioned on the first object can be determined, based on the first virtual object boundary feature.