Patent classifications
G06K7/1452
Detection method and system for characteristic patterns of Han Xin codes
The invention provides a detection method and system for characteristic patterns of Han Xin codes. The detection method comprises the steps: binarizing a received two-dimensional code image, scanning the two-dimensional code image line-by-line and column-by-column so as to search out the four vertexes of a Han Xin code region, connecting every two vertexes of the four vertexes so as to form the four boundaries and two diagonal lines of the Han Xin code region, searching out four characteristic line segments starting from the vertexes and having the continuous binarization values 1, 0, 1, 0, 1 from the two diagonal lines and also searching out the end points of the characteristic line segments, and calculating the boundaries and the data bit width of position detection patterns of the Han Xin code according to the start points and the end points of the characteristic line segments.
Method and apparatus for optically reading out information stored in a barcode
In a method, whether there is a first bar having a width and located at at least one of both ends of a first black and white pattern is determined. The width of the bar is greater than a maximum width of a second bar. The maximum width of the second bar appears in a second black and white pattern assuming that the black and white pattern is part of the first barcode. The first black and white pattern is determined as readout data of the second barcode when it is determined that there is the first bar having the width greater than the maximum width of the second bar and located at at least one of both ends of the first black and white pattern.
Mobile device tethering for a remote parking assist system of a vehicle
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.
Dual illuminator as field of view identification and aiming
A code reader comprises a first imager and a second imager configured to capture an image with different field of views, a first illuminator and a second illuminator configured to project a different illumination pattern, and a processor operably coupled to the imagers and the illuminators. The processor configured to activate the first imager and the first illuminator as a receiver pair responsive to detecting a first condition, activate the second imager and the second illuminator as a receiver pair responsive to detecting a second condition, and decode an optical code using an image captured by the selected receiver pair.
Methods and apparatus to locate and decode an arranged plurality of barcodes in an image
Methods and apparatus to locate and decode an arranged plurality of barcodes in an image are disclosed. An example method includes obtaining image data representing an image of an environment appearing within a FOV of an imaging device that includes the image sensor, wherein an arranged plurality of barcodes appear in the image. A first subset of the plurality of barcodes is decoded from the image data. One or more parameters representing a predicted arrangement of the plurality of barcodes in the image is determined based upon location information associated with each of the decoded first subset of the plurality of barcodes. Possible locations for respective ones of a second subset of the plurality of barcodes are determined based upon the one or more parameters, and the second subset of the plurality of barcodes are attempted to be decoded from the image data in vicinities of the respective possible locations.
Methods and apparatus to locate barcodes in color images
Methods and apparatus to locate barcodes in color images are disclosed. An example method includes: obtaining a color digital image using an image sensor, the image including a plurality of pixels represented by respective ones of a plurality of luminance components and respective ones of a plurality of color components; determining, based on the luminance components, a plurality of barcode indicative characteristics for respective ones of a plurality of regions of the image; determining, based on the plurality of color components, a plurality of color content amounts for respective ones of the plurality of regions; identifying one or more regions of the plurality of regions that have their respective color content amount satisfy a first criteria, and their respective barcode indicative characteristic satisfy a second criteria; and processing image data corresponding to each of the one or more regions to attempt to identify one or more barcodes in the image.
Methods and apparatus for improving QR code locator detectability and/or finding the corners of a locator pattern
Various features relate to processing a scanned image to facilitate accurate locator pattern identification and/or detection of the corner locations of the locator pattern. In some embodiments to facilitate the identification of corner points the scanned image is processed to reduce the effect of noise and/or other damage on the subsequent location identification process. Individual white pixels which have black pixels on four sides are converted to black as part of the processing while multiple white pixels adjacent each other are left unaltered. In some embodiments processing does not alter the color of black pixels. Corner points of the locator pattern are identified through additional processing and identification of line segments satisfying an expected black, white, black, white, black segment portion ratio.
Barcode Detection Method and Barcode Detection System for Increasing Detection Efficiency by Using Gray Level Flip Counts
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.
Using Passively Represented Information to Identify Items Within a Multi-Dimensional Space
A system, method, and computer-readable medium for accessing information associated with items within a multi-dimensional space, comprising: scanning a plurality of multi-dimensional symbols, each of the plurality of multi-dimensional symbols being scanned from a plurality of angles; identifying each of the plurality of multi-dimensional symbols for each angle; and storing information identifying each of the plurality of multi-dimensional symbols for each angle in an encoded geometry repository.
Barcode processing
Provided are techniques for barcode processing. A barcode is detected. Then the barcode is classified as any of a first class code that needs to be preserved and a second class code that does not need to be preserved. For the barcode classified as the first class code, a content referred to by the barcode is saved.