A system performs a method for processing an image of a machine-readable code. The method includes receiving an image of a machine-readable code comprising coded information, where the machine-readable code is at least partially obscured. An adjusted image is generated by adjusting a color space of the image. At least a machine-readable code region of the image is binarized, wherein the machine-readable code region of the image depicts the machine-readable code. The binarized machine-readable code region is decoded to determine the coded information. Other apparatus and methods are also described.

Method and apparatus are disclosed for mobile device tethering for a remote parking assist system of a vehicle. A vehicle includes a camera and a body control module. The body control module sends an instruction to a mobile device and captures, with the camera, an image of the mobile device. The body control module also analyzes the image to determine an initial location of the mobile device relative to the vehicle, and based on the initial location, performs dead reckoning on the mobile device to track the mobile device. When the mobile device is within a threshold distance, the body control module enables autonomous parking.

A method for determining a module size of an optical code (20), wherein image data with the code (20) are detected, a brightness distribution is determined from the image data, and the module size is determined from the brightness distribution. The brightness distribution for example is a greyscale histogram.

Disclosed are an image processing method and apparatus. The method may include: inputting a target image into a pre-trained image detection model to obtain a feature value of a rectangular box in which each graphic of at least one graphic presented by the target image is located, and a probability value of each graphic being a specified graphic code; in response to determining at least two rectangular boxes having regions partially overlapped in the rectangular box involved in the at least one graphic, determining a ratio of an area of partially overlapped regions enclosed by the at least two rectangular boxes to the sum of the areas of the regions enclosed by the at least two rectangular boxes; based on the comparison between the ratio and a preset ratio threshold value, determining a target rectangular box from the at least two rectangular boxes; and generating a processed target image.

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.

A barcode recognition apparatus and a barcode recognition method. The barcode recognition method includes receiving, from a sensor, a triggering message indicating that a product enters, setting a camera focus on the basis of a barcode in an image of the product obtained using a camera upon receiving the triggering message, obtaining a product image according to the set camera focus, performing preprocessing for extracting a barcode region on the product image, extracting the barcode region from the preprocessed image, and deriving barcode information from the extracted barcode region.

Method and apparatus are disclosed for mobile device tethering for a remote parking assist system of a vehicle. An example vehicle includes a plurality of wireless nodes, occupant detection sensors, and a body control module. The body control module determines an initial exit location relative to the vehicle of a mobile device based on signal received from the wireless nodes and the occupant detection sensors. The body control module also tracks a location of the mobile device based on the initial exit location using dead reckoning and enables remote parking assist when the location is within a threshold distance.

A decoding device includes a processor configured to: analyze a captured image having a 2D captured image coordinate system to identify an instance of a type of anchor marking therein; derive an orientation thereof relative to the captured image coordinate system; correlate the type of anchor marking to a relative location of a corresponding type of target marking within a 2D normalized coordinate system; employ the location and orientation of the instance of the type of anchor marking within the captured image coordinate system, and the relative location of the type of target marking within the normalized coordinate system to derive a location of an instance of the type of target marking within the captured image coordinate system; attempt interpretation of the instance of the type of target marking at the derived location to decode data thereat; and in response to a successful decode, transmit the data to another device.

A method for determining a module size of an optical code (20), wherein image data with the code (20) are detected, a brightness distribution is determined from the image data, and the module size is determined from the brightness distribution. The brightness distribution for example is a greyscale histogram.

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.