Disclosed is a method of generating a code including additional information, including: generating, by an administrator module interworking with a product selling server, a first code including information about a product to be sold by a seller; generating, by the administrator module, a second code including information about a store where the product to be sold by the seller is located and distinguished from the first code; and generating, by the administrator module, a completion code including the product information and the store information of the corresponding product by combining a plurality of codes including the first and second codes, wherein the completion code is configured to have information different from the first and second codes by combining information about a same point of the first and second codes.

A barcode detection method includes obtaining a gradient of each pixel in an image, generating a gradient phase and a gradient magnitude of each pixel according to the gradient, and binarizing the gradient magnitude of each pixel to generate a binary image, generating a sliding window on the image, sampling the binary image vertically and horizontally within the sliding window to generate the numbers of grayscale value variations in the vertical and horizontal directions, locating the most intensive flip region according to the grayscale variations in the vertical and horizontal directions, locating a core barcode region according to the most intensive flip region, capturing the gradient phase of the pixels in the core barcode region to generate a gradient phase distribution, generating a barcode format detection result according to the gradient phase distribution, and locating the barcode region according to the barcode format detection result.

Disclosed is an anti-counterfeiting method based on a feature of a surface texture image of a product, including: obtaining a tag with a unique identity; implanting the tag into a product identification area with a unique texture feature on a surface of the product; collecting an image of the product identification area on the surface of the product implanted with the tag as an official product image using an image acquisition device; adopting a computing method of an eigenvalue of a multi-partition texture image to acquire a feature of the official product image; authenticating a user product image to be identified using a matching method of the texture image eigenvalue of similar partitions based on the identity of an image of the tag and the feature of the official product image to determine an authenticity.

An image output device includes an acquisition unit that acquires original image data indicating an original image, a storage unit that certifies, for each of blocks, whether the original image is a barcode area and that stores output image data for outputting the original image, and an output unit that performs output based on the output image data using methods that are different between an area indicated to be the barcode area and an area indicated not to be the barcode area, wherein the output image data is JPEG data compressed for the each block.

A method and a system for recognizing location information in a two-dimensional code are provided. The method comprises: acquiring a two-dimensional code in an image; performing, according to a main positioning block of the two-dimensional code, feature detection to recognize location information in the two-dimensional code; and determining, according to the location information in the two-dimensional code, spatial location information of the two-dimensional code in the image.

A barcode detection method includes acquiring an image by a camera, acquiring a horizontal gradient and a vertical gradient of each pixel of the image within a region, generating a gradient phase and gradient magnitude of each pixel according to the horizontal gradient and the vertical gradient, performing a binarization process to the gradient magnitude of each pixel of the image within the region for generating a binarized image, vertically and horizontally sampling the binarized image for generating the gray level flip count in a vertical direction and a horizontal direction, locating an image region of a barcode according to the gray level flip count in the vertical direction and the horizontal direction, acquiring a plurality of gradient phases of all pixels within the image region for generating a gradient phase distribution, and generating a barcode format detection result according to the gradient phase distribution.

A medical implant includes a body and an identification assembly. The body includes a first material that is biocompatible, an inner portion, and an external surface made form the first material. The external surface completely contains the interior portion of the body such that the external surface is the only portion of the body exposed to an external environment. The identification assembly is fixed relative to the body. The identification assembly includes a radiopaque material forming a datamatrix. The identification assembly stores a readable data associated with the medical implant. The identification assembly may transfer the readable data to a scanning system.

Method and apparatus are disclosed for mobile device tethering for a remote parking assist system of a vehicle. An example vehicle includes an active safety module and a body control module. The active safety module to, when active, autonomously parks the vehicle. The body control module determines an initial location of the mobile device and determines a current location of the mobile device using a current position received from the mobile device. The current position received from the mobile device is defined relative to the initial location. Additionally, the body control module, when the mobile device is within a virtual boundary, enables an autonomous parking system of the active safety module.

A user instrument for engaging in a transaction includes a graphically encoded icon having a static portion, and an intrinsic portion comprising an area of stimuli-responsive material defining a first machine-readable indicia. At least a portion of the stimuli-responsive material transforms from a first state to a second state in response to a trigger. The transformation from the first state to the second state of the portion of the stimuli-response material results in a second machine-readable indicia. The transformation of the stimuli-responsive material from the first state to the second state is semi-irreversible. The second machine-readable indicia comprises information to permit or deny the user to engage in a second transaction via the user instrument.

This disclosure describes methods and systems for using a barcode reader to read multiple barcodes positioned on an object. The barcode reader attempts to locate a first priority barcode within an image using first priority information. The priority information may define a region of interest within the image. The barcode reader may search only the region of interest for the first priority barcode. The priority information may define one or more characteristics of the first priority barcode. Based on the results of attempting to locate the first priority barcode, the barcode reader determines whether to attempt to locate a second priority barcode within the image. The barcode reader may discard the image if the barcode reader fails to locate the first priority barcode or the results of attempting to locate the first priority barcode indicate that the image is unlikely to contain a decodable second priority barcode.