Abstract:
A method determines a license plate layout configuration. The method includes generating at least one model representing a license plate layout configuration. The generating includes segmenting training images each defining a license plate to extract characters and logos from the training images. The segmenting includes calculating values corresponding to parameters of the license plate and features of the characters and logos. The segmenting includes estimating a likelihood function specified by the features using the values. The likelihood function measures deviations between an observed plate and the model. The method includes storing a layout structure and the distributions for each of the at least one model. The method includes receiving as input an observed image including a plate region. The method includes segmenting the plate region and determining a license plate layout configuration of the observed plate by comparing the segmented plate region to the at least one model.
Abstract:
Methods, systems and processor-readable media for enhancing performance of an automated license plate recognition system utilizing multiple results. Multiple images can be captured as a vehicle passes through an observation zone and each image can be processed utilizing an ALPR unit to obtain a plate code result and associated confidence values. Iterative processing of character level information across an OCR code followed by a higher level error checking based on learned context information can be performed. A string correlation approach can be employed to optimally align the OCR code from multiple images despite noise factors. The OCR confidence and state mask information can then be leveraged to select a character for an output plate code taking into account the ALPR error sources.
Abstract:
The disclosure proposes the automatic use of the job or image content information of a print job. This information is used to automatically adjust the general printing procedure for a print engine. The job's image content information is analyzed in the context of the constraints of the print engine to determine an improved printing procedure, which may include cycle-up operation, process control cycles, or maintenance cycles for that particular print job.
Abstract:
A method and system for recognizing a license plate character utilizing a machine learning classifier. A license plate image with respect to a vehicle can be captured by an image capturing unit and the license plate image can be segmented into license plate character images. The character image can be preprocessed to remove a local background variation in the image and to define a local feature utilizing a quantization transformation. A classification margin for each character image can be identified utilizing a set of machine learning classifiers each binary in nature, for the character image. Each binary classifier can be trained utilizing a character sample as a positive class and all other characters as well as non-character images as a negative class. The character type associated with the classifier with a largest classification margin can be determined and the OCR result can be declared.
Abstract:
A system and method for automatically recognizing license plate information, the method comprising receiving an image of a license plate, and generating a plurality of image processing data sets, wherein each image processing data set of the plurality of image processing data sets is associated with a score of a plurality of scores by a scoring process comprising determining one or more image processing parameters, generating the image processing data set by processing the image using the one or more image processing parameters, generating the score based on the image processing data, and associating the image processing data set with the score.
Abstract:
Methods, systems and processor-readable media for robust tilt adjustment and cropping of a license plate image. A vehicle image can be captured by an image-capturing unit and converted to a binary image utilizing a binarization approach. A long run within the binary image can then be removed and a morphological filtering can be applied to break an unwanted connection between characters due to a license plate frame and an image noise. A connected component (CC) within the image can be identified and screened based on a number of key metrics to remove a most likely candidate character connected component. A line-fit based iterative search process can then be performed for robust tilt removal and vertical cropping of the license plate image to obtain a tight bounding box on the license plate characters if sufficient candidate characters remain after the search process. Otherwise, the region of interest can be rejected.
Abstract:
An embodiment generally relates to systems and methods for processing orders associated with an establishment. In particular, a customer can submit a remote order for goods offered by the establishment, along with an associated license plate number of a vehicle that is to pick up the order. An image capture device can capture images of a vehicle on the premises of the establishment, and provide the images to a processing module which use automatic license plate recognition (ALPR) techniques to determine license plate data of the vehicle. The processing module can further examine an order list to determine if the license plate data is associated with an order on the order list, and, if so, add the order to a priority queue.
Abstract:
This disclosure provides methods and systems for troubleshooting charging and photoreceptor failure modes associated with a xerographic process. Specifically, according to an exemplary method the photoreceptor decay behavior, with and without the effects of depletion, are quantified and used to determine a performance state of one or more of the charging stations and the photoreceptor surface.
Abstract:
According to aspects of the embodiments, there is provided an apparatus comprising a cleaning unit with a blade holder that rotates about a pivot point, the cleaning blade is coupled to the blade holder and is positioned to chisel excess toner from a photoreceptor surface. Geometrical changes produce a blade having a plurality of slanted surfaces at the working end of the blade one at an obtuse angle, in the range of 93 degrees to 97 degrees, and a second at an acute angle that forms an offset point between the cleaning edge and the intersection of the two angles. A double cut allows for improvement in the cleaning tip stiffness using the first cut, while the second cut increases the contact width and improves the pressure distribution at the working edge.
Abstract:
Multi-color document processing systems and methods are described in which the toner detachment field distribution curve is measured as a function of transfer field and the curve is shifted by adjustment of one or more toner state adjustment actuators to facilitate operation at lower transfer field levels for mitigating retransfer and other high field defects.