Disclosed herein is a barcode reading system that includes an image decoding system, a communication interface, and an image sensor system package. The image decoding system may include a processor, memory, and a decoder stored in the memory. The image sensor system package may be coupled to the image decoding system via the communication interface. The image sensor system package may include a photo sensor array and pre-processing circuitry. The photo sensor array may be configured to capture image frames at a first speed. The pre-processing circuitry may be configured to perform one or more operations on the image frames captured by the photo sensor array. The pre-processing circuitry may be additionally configured to effect transfer of at least some of the image frames to the image decoding system via the communication interface at a second speed. The first speed may be greater than the second speed.

An image processing apparatus includes a visible code area searching unit and a color replacement processing unit. The visible code area searching unit searches for a visible code area in a color document image corresponding to a document, and the visible code area includes a visible code. The color replacement processing unit (a) generates as a local color histogram a color histogram of the visible code area in a predetermined color space and determines whether removal of a stain image should be performed or not on the basis of a ratio of a pixel classified into a bin that includes a color of the stain image in the local color histogram, and (b) replaces the color of the stain image in the visible code area with a background color of the document if it is determined that the removal of the stain image should be performed.

An anti-counterfeiting method involves dividing a barcode image into a plurality of modules; extracting a respective inertia of a gray level co-occurrence matrix for each of the plurality of modules; acquiring an image of a printed candidate bar code; generating a sorted list (using extracted intertias) for the plurality of modules of the image of the printed candidate barcode; in a first range of magnitudes, comparing the sorted list for the image of the printed genuine barcode with an equivalent sorted list for the image of the printed candidate barcode; and in a second range of magnitudes, comparing the sorted list for the image of the printed genuine barcode with the sorted list for the image of the printed candidate barcode, wherein the second range is different from the first range.

An apparatus includes a programmable logic configured to: convolve a stencil in a non-rotated orientation about a 2D array of pixels of a captured image received as image data from a camera to generate non-rotated stencil data; generate rotated stencil data based on a rotation of the stencil into a rotated orientation; generate, based on the non-rotated and rotated stencil data, a per-pixel density map indicative of a location of a corner of a 2D indicia within the captured image; employ noise filtering and subsampling to generate, based on the per-pixel density map, a per-tile density map indicative of the location of the corner of the 2D indicia within a 2D array of tiles that corresponds to the 2D array of pixels of the captured image; and generate, based on the per-tile density map, 2D indicia metadata indicative of the location of the 2D indicia within the captured image.

A barcode reader may include an image sensor array, an optic system, an image buffer, and a plurality of pre-processing circuits implemented in hardware. The optic system may be configured to focus an image of a barcode onto the image sensor array. The plurality of pre-processing circuits may collectively implement a plurality of different image processing functions. Each pre-processing circuit may be configured to receive as input an image frame from the image sensor array or an image data record from the image buffer. The image data record may be derived from the image frame. Each pre-processing circuit may also be configured to perform an image processing function with respect to the image frame or the image data record, thereby generating a new image data record. A decoder may use at least one image data record to decode the barcode.

A method for deconvolution of digital images includes obtaining a degraded image from a digital sensor, a processor accepting output from the digital sensor and recognizing a distorted element within the image. The distorted element is compared with a true shape of the element to produce a degrading function. The degrading function is deconvolved from at least a portion of the image to improve image quality of the image. A method of indirectly decoding a barcode includes obtaining an image of a barcode using an optical sensor in a mobile computing device, the image comprising barcode marks and a textual character. The textual character is optically recognized and an image degrading characteristic is identified from the textual character. Compensating for the image degrading characteristic renders previously undecodable barcode marks decodable. A system for deconvolution of digital images is also included.

A barcode reader having alternating illumination for a single sensor split into multiple fields of view (FOVs) is disclosed herein. An example barcode reader includes an image sensor having a primary FOV and operable at a predetermined framerate, an optical assembly configured to split the primary FOV into first and second subfields of view, an illumination assembly configured to illuminate targets appearing within the first and second subfields of view, a controller, and a decoder. The controller instructs the image sensor to capture a first image with a first exposure duration while having the illumination assembly be activated for at least a portion of the first exposure duration and a second image with a different second exposure duration while having the illumination assembly be activated for at least a portion of the second exposure duration. From the first and second images, the decoder attempts to decode a barcode.

Embodiments related to local tone mapping for symbol reading. A local pixel neighborhood metric is determined for at least one raw pixel in a region-of-interest, which identifies on one or more raw pixels near the at least one raw pixel. A local mapping function is determined for the at least one raw pixel that maps the value of the raw pixel to a mapped pixel value with a mapped bit depth that is smaller than the bit depth associated with the raw image. The local mapping function is based on a value of at least one other raw pixel near the at least one raw pixel within the local pixel neighborhood metric, and at least one parameter determined based on the raw image. A mapped image is computed for the region-of-interest by applying the local mapping function to the raw image.

A barcode reader may perform image processing functions to generate distinct image data records from the frame of image data of a barcode, select an image data record from the distinct image data records and decode the selected image data record. Each image data record may be generated by applying a distinct image processing function to the frame of image data. The barcode reader may capture multiple frames of image data in sequence based on image capture parameters. At least one of the multiple frames of image data may be captured with a distinct parameter value. The image capture parameters may include an exposure setting, a gain setting, a resolution setting, and/or an illumination setting.

A method includes: determining, by a graphic code display device, a first tilted angle of an affine plane of the graphic code displayed by the graphic code display device relative to a horizontal plane; obtaining, by the graphic code display device, a prestored second tilted angle of a scanning window plane of a scanning device relative to the horizontal plane, wherein the graphic code is displayed for the scanning device to scan; and adjusting, by the graphic code display device according to the first tilted angle and the second tilted angle, the first tilted angle of the affine plane of the graphic code to reduce an angle between the affine plane of the graphic code and the scanning window plane of the scanning device. Adjusting the first tilted angle of the affine plane of the graphic code stretches the graphic code.