Abstract: A method for calibrating a digital stylus comprising imaging a portion of a calibration pattern area of a data encoding pattern using an imaging module of the stylus in order to generate calibration data representing an error in alignment for the stylus, and using the calibration data to adjust subsequent measurements from the stylus in order to compensate for the error.

Abstract: A forensic authentication system includes an imaging device to capture an image of a printed mark and a non-printed area of a substrate directly adjacent to the printed mark, and a processor to run computer readable instructions. The processor can run computer readable instructions to utilize a model to define a substrate region that corresponds with at least a portion of the non-printed area of the substrate directly adjacent to the printed mark; and computer readable instructions to generate a substrate signature for the defined substrate region. Each of the computer readable instructions is embedded on a non-transitory, tangible computer readable medium.

Abstract: Examples disclosed herein relate to classifying paper based on three-dimensional characteristics of the paper. For example, a representation of the three-dimensional characteristics of the paper may be created, and statistical summary information related to the three-dimensional characteristics of the paper may be determined based on the representation. The paper may be classified based on the statistical summary information.

Abstract: Embodiments disclosed herein relate to a filter (100). In one embodiment, the filter includes a pattern (120). The pattern may reflect or fluoresce non-visible light.

Abstract: A series of images of an object are captured using illumination sources. The series of images correspond to different relative orientations of the object and the illumination sources. A forensic signature for the object is generated using one or more of the series of images. The forensic signature is unique to the object.

Abstract: A system for performing task execution in a workflow includes a processor device, at least one modular device having a digital microscope that is interchangeably coupled to the processor device, a memory device coupled to the processor device comprising instructions that when executed by the processor device execute a software service, a network interface, and an electronic workflow system coupled to the processor device via the network interface. The digital microscope corresponds to at least one particular task of a workflow to authenticate a workflow item using discrepancy detection, and the software service controls operation of the at least one modular device and generates forensic metadata from task information received by the digital microscope of the at least one modular device for the electronic workflow system.

Abstract: A system can comprise a memory to store machine readable instructions and a processing unit to access the memory and execute the machine readable instructions. The machine readable instructions can comprise a feature set extractor to extract a feature set from each of a plurality of digital images of print samples. The feature set can be a filtered feature set that includes a feature set characterizing a printer that printed a given print sample of the print samples. The machine readable instructions can also comprise a cluster component to determine clusters of the print samples based on the feature set of each of the plurality of scanned images of the print samples. The machine readable instructions can further comprise a printer identifier to identify the printer of the print samples based on the clusters of the print samples.

Abstract: An embodiment of a fingerprinting system may include a receiver configured to receive a finger and an image-capturing device optically coupled to the receiver and configured to capture an image of a fingerprint from a target region of the finger. The image-capturing device may include an afocal optical system. The fingerprinting system may configured so that the image-capturing device captures the image of the fingerprint from the target region without the target region of the finger being in direct physical contact with a solid surface.

Abstract: Methods for selecting metrics for substrate classification, and apparatus to perform such methods. The methods include determining a value of a metric from an image of a substrate sample for each substrate sample of a plurality of substrate samples, wherein the metric is indicative of a surface texture of each substrate sample and iteratively assigning substrate samples of the plurality of substrate samples to an aggregate of a particular number of aggregates in response to a value of the metric for each substrate sample until a convergence of clustering is deemed achieved, then determining an indication of cluster tightness of the particular number of aggregates. The methods further include selecting or ignoring the metric for substrate classification in response to the indication of cluster tightness of the particular number of aggregates.

Abstract: A system can comprise a memory to store machine readable instructions and a processing unit to access the memory and execute the machine readable instructions. The machine readable instructions can comprise a feature set extractor to extract a feature set from each of a plurality of digital images of print samples. The feature set can be a filtered feature set that includes a feature set characterizing a printer that printed a given print sample of the print samples. The machine readable instructions can also comprise a cluster component to determine clusters of the print samples based on the feature set of each of the plurality of scanned images of the print samples. The machine readable instructions can further comprise a printer identifier to identify the printer of the print samples based on the clusters of the print samples.

Abstract: An image is obtained of an identifying object that is on a printed document. A forensic signature is extracted from the image. Access to the extracted forensic signature profile is enabled via information encoded in the identifying object. The identifying object may be interpreted to access the forensic signature for comparison with another.

Abstract: A forensic authentication system includes an imaging device to capture an image of a printed mark and a non-printed area of a substrate directly adjacent to the printed mark, and a processor to run computer readable instructions. The processor can run computer readable instructions to utilize a model to define a substrate region that corresponds with at least a portion of the non-printed area of the substrate directly adjacent to the printed mark; and computer readable instructions to generate a substrate signature for the defined substrate region. Each of the computer readable instructions is embedded on a non-transitory, tangible computer readable medium.

Abstract: A method for decoding information from a physical image having a plurality of payload patches includes generating a digital representation of the physical image. A plurality of regions are mapped to the plurality of payload patches in the digital representation. A scramble pattern is identified and the plurality of mapped regions of the digital representation are reordered according to the identified scramble pattern. Information is decoded from the payload patches of the reordered plurality of mapped regions.

Abstract: Embodiments disclosed herein relate to a filter (100). In one embodiment, the filter includes a pattern (120). The pattern may reflect or fluoresce non-visible light.

Abstract: Methods for selecting metrics for substrate classification, and apparatus to perform such methods. The methods include determining a value of a metric from an image of a substrate sample for each substrate sample of a plurality of substrate samples, wherein the metric is indicative of a surface texture of each substrate sample and iteratively assigning substrate samples of the plurality of substrate samples to an aggregate of a particular number of aggregates in response to a value of the metric for each substrate sample until a convergence of clustering is deemed achieved, then determining an indication of cluster tightness of the particular number of aggregates. The methods further include selecting or ignoring the metric for substrate classification in response to the indication of cluster tightness of the particular number of aggregates.

Abstract: Systems and methods for performing task execution in a workflow are described. The system comprises at least one modular device (12, 42, 82, 91, 105, 112, 122, 142, 162, 212, 214, 222, 224, 232, 234, 362, 364, 372, 374, 382) comprising a sensor device (14, 44, 84, 92, 106, 114, 144, 164) that is interchangeably coupled to a processor device (72, 95, 103, 120, 150, 210, 220, 230, 360, 370, 380), a software service (20, 60, 78, 96, 96a, 130, 172, 216, 226, 236, 366, 376, 386) and an electronic workflow system (22, 62, 89, 98, 134, 174, 240, 352), where the sensor may correspond to at least one particular task of a workflow, and the software service may control operation of the modular device and generates metadata from task information received by the sensor of the modular devices for the electronic workflow system.

Abstract: A method of determining a regular grid pattern from a surface coded pattern that comprises the regular grid pattern interleaved with a further data carrying pattern wherein the surface coded pattern is subject to perspective distortion, the method comprising: extracting a set of straight line hypotheses from the coded surface pattern; clustering the straight line hypotheses by orientation; for each cluster, extracting a set of line pencil hypotheses; generating a set of regular grid hypotheses from pairs of the line pencil hypotheses; and determining the best regular grid hypothesis.

Abstract: An image is obtained of an identifying object that is on a printed document. A forensic signature is extracted from the image. Access to the extracted forensic signature profile is enabled via information encoded in the identifying object. The identifying object may be interpreted to access the forensic signature for comparison with another.

Abstract: A method for decoding information from a physical image having a plurality of payload patches includes generating a digital representation of the physical image. A plurality of regions are mapped to the plurality of payload patches in the digital representation. A scramble pattern is identified and the plurality of mapped regions of the digital representation are reordered according to the identified scramble pattern. Information is decoded from the payload patches of the reordered plurality of mapped regions.

Abstract: A method for calibrating a digital stylus comprising imaging a portion of a calibration pattern area of a data encoding pattern using an imaging module of the stylus in order to generate calibration data representing an error in alignment for the stylus, and using the calibration data to adjust subsequent measurements from the stylus in order to compensate for the error.