Methods and apparatus to determine barcode decoding parameters for a plurality of barcodes in an image are disclosed. An example method includes: obtaining image data representing an image including a plurality of barcodes; decoding a first barcode of the plurality of barcodes from the image data; determining a set of barcode decoding parameters used to successfully decode the first barcode; determining whether the plurality of barcodes encoded using at least one of a same barcode size, a same module size, or a same barcode format; and when the plurality of barcodes are encoded using at least one of the same barcode size, the same module size, or the same barcode format, attempting to decode all remaining barcodes of the plurality of barcodes from the image data using first the set of barcode decoding parameters.

In a system and method of recognizing a barcode from a stream of video frames, a processor-implemented camera module receives a stream of video frames, with at least one video frame including a barcode. A processor-implemented barcode blur estimate module estimates an amount of defocus blur in a video frame. The processor-implemented barcode blur estimate module further estimates an identity of the barcode. A processor-implemented barcode localization module identifies a region of the video frame containing the barcode. A processor-implemented barcode geometric modeler module generates a geometric model of the barcode that includes an identified barcode deformity. A processor-implemented barcode decoder module decodes the barcode from the video frame using the estimated amount of defocus blur, the estimated identity of the barcode, and the geometric model of the barcode.

A code reader for reading an optical code is provided that has a linear image sensor having a plurality of linear arrangements of light reception pixels for recording image data having the code and a control and evaluation unit that is configured to locate and read the code in the image data, wherein the light reception pixels have a different spectral sensitivity. Here, at least one linear arrangement is a white line whose reception pixels are sensitive to white light for recording a gray scale image and the other linear arrangements are color lines whose reception pixels are sensitive to light of only one respective color for recording a color image.

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.

This invention relates to a secure QrCode communication method based on nonlinear spatial frequency characteristics, comprising: camera modeling: modeling according to the spatial frequency of the color filter matrix of the scanning device's camera; QrCode encryption: using the CFA spatial frequency of scanning device and modeling results, as well as the spatial frequency of the display device, generate an encrypted picture of the target QrCode on the display device; QrCode decryption: the camera of the scanning device takes the picture of the display at a specified position and a specified angle, and parses the image to recover the target QrCode. Compared with the prior art, the present invention utilizes the nonlinear characteristics of the optical spatial frequency, and uses the spatial frequency of the camera's own color filter array and the spatial frequency of the display to modulate the target two-dimensional code through phase to achieve the effect of encryption.

A tag comprises cells represented by marks, such as white and black, arranged in a predetermined pattern. Reference cells are used to determine the edges of the tag and orientation, while others are used to encode data and error correction data. During processing, a tag is detected based on a variability metric within a given region of an image exceeding a threshold value. Once detected, the orientation of the tag is determined using the reference cells. Confidence values, indicative of a likelihood that the cell is a particular cell value, such as white or black, are determined for each cell in a first set of cell values. If the first set is invalid, the cell values for a set of lowest confidence cell values are inverted to produce a second set of cell values. The second set is tested, and if valid, is used to produce output data.

A code reader and method thereof may include capturing monochrome images of a scene by a monochrome imager, and capturing color images of the scene by a color imager aligned with the monochrome imager. Stereo 3D images of the scene may be generated from the monochrome and color images.

An image based code reader comprises an image sensor. The image sensor is configured to acquire an image of a code. Additionally, the image based code reader includes a lens configured to project an image scene including the code onto the image sensor, the lens comprising a variable optical power that controls a focus distance of the image based code reader. The image based code reader further includes a processor operatively coupled to the image sensor and the lens. The processor is configured to acquire the image of the code using only pixels located within a region of interest of the sensor, and a size of the region of interest is selected based on the focus distance of the reader.

This invention relates to a secure QrCode communication method based on nonlinear spatial frequency characteristics, comprising: camera modeling: modeling according to the spatial frequency of the color filter matrix of the scanning device's camera; QrCode encryption: using the CFA spatial frequency of scanning device and modeling results, as well as the spatial frequency of the display device, generate an encrypted picture of the target QrCode on the display device; QrCode decryption: the camera of the scanning device takes the picture of the display at a specified position and a specified angle, and parses the image to recover the target QrCode. Compared with the prior art, the present invention utilizes the nonlinear characteristics of the optical spatial frequency, and uses the spatial frequency of the camera's own color filter array and the spatial frequency of the display to modulate the target two-dimensional code through phase to achieve the effect of encryption.

This application discloses a digital object unique identifier (DOI) recognition method and device. The method comprises: obtaining a code scanning image; graying the code scanning image to obtain a grayscale value of each pixel in the code scanning image; determining a DOI image in the code scanning image according to the grayscale value of each pixel in the code scanning image; and recognizing the DOI image.