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 by a substance that has a predominant color; generating an adjusted image by adjusting a color space of the image based on the predominant color; binarizing at least a machine-readable code region of the image, wherein the machine-readable code region of the image depicts the machine-readable code; and decoding the binarized machine-readable code region to determine the coded information. Other apparatus and methods are also described.

Example methods and apparatuses to mitigate specular reflections and direct illumination interference in bioptic barcode readers are disclosed. An example method includes creating a first sub-field of view passing through a first window, creating a second sub-field of view passing through a second window, while activating a first illumination source to illuminate the first sub-field of view and deactivating a second illumination source associated with the second sub-field of view, capturing first images of the first sub-field of view, while activating the second illumination source to illuminate the second sub-field of view and deactivating the first illumination source, capturing second images of the second sub-field of view, and attempting to decode a barcode within at least one of the first images and the second images.

Provided is a method, performed by an electronic device, of reading a barcode, the method including obtaining an image by capturing an image of the barcode, determining a plurality of lines that cover a part of the barcode from the image, obtaining information about a distortion level of the barcode in a region adjacent to each of the plurality of lines, determining at least one line for reading the barcode from among the plurality of lines, based on the obtained information, and reading the barcode based on the determined at least one line.

Systems and methods for reading a two-dimensional matrix symbol or for determining if a two-dimensional matrix symbol is decodable are disclosed. The systems and methods can include a data reading algorithm that receives an image, locates at least a portion of the data modules within the image without using a fixed pattern, fits a model of the module positions from the image, extrapolates the model resulting in predicted module positions, determines module values from the image at the predicted module positions, and extracts a binary matrix from the module values.

A code reader for the reading of optical codes is provided that has an image sensor for the detection of image data with the code and that has a control and evaluation unit that is configured to read the code with at least one decoding method, wherein the control and evaluation unit is connected to a distance sensor that determines a distance value for the distance of the code. The control and evaluation unit is further configured for the purpose of setting at least one parameter and/or including at least one additional algorithm of the decoding method for the decoding method in dependence on the distance value.

An apparatus detects a plurality of areas from an overall image, determines on each of the plurality of areas whether the area is a candidate for an area including an object as a processing target based on a determination reference value (first determination processing), acquires a zoom-in image of the area determined to be the candidate for the area including the object in the first determination processing, and determines whether the acquired zoom-in image is an image of the object (second determination processing). The apparatus identifies an area, in the overall image, corresponding to the zoom-in image determined not to be the image of the object in the second determination processing, and performs control to update the determination reference value used in the first determination processing based on image information of the identified area in the overall image.

Methods, systems, and apparatus, including medium-encoded computer program products, for glare mitigation techniques include: obtaining images containing a representation of a mark, the images comprising multiple poses of the mark and generating a single image from the images that contain a representation of the mark with reduced glare when compared to the images comprising multiple poses of the mark. The single image is provided for processing of the representation of the mark to identify information associated with the mark.

The invention aims at reading, by a reading device, a 2D graphic code comprising zones including data zones encoding information based on real colours in a colour base and calibration zones presenting a predefined reference colour, the method comprising: optical acquisition of the 2D graphic code in current acquisition conditions to obtain image data, measuring of the observable colour in the calibration zones, spatial interpolation based on the observable colours in the calibration zones to estimate the theoretically observable colour for each base colour in the 2D graphic code, and classification based on the spatial interpolation for determining the real colour of analyzed data zones.

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.

Incremental magnification is used to decode optical patterns, such a barcodes, in a scene. A first image of a scene is acquired using a first magnification of a camera, wherein the first image comprises a barcode. The barcode cannot be decoded. The magnification of the camera is increased by a predetermined magnification from the first magnification to a second magnification. A second image is acquired of the scene, including the barcode. The barcode is decoded after acquiring the second image.