Abstract: An arrangement for, and a method of, minimizing misdecodes of GS1 DataBar Limited (Databar-limited) symbols in a reader for electro-optically reading symbols of different symbologies, such as Universal Product Code (UPC) Version A (UPC-A) symbols, includes a data capture assembly for capturing light from a target symbol, and for generating an electrical signal indicative of the captured light; and a controller for processing and decoding the electrical signal, and for determining whether the decoded signal is indicative of a Databar-limited symbol, and for determining whether the decoded signal has characteristics indicative of a different symbology, such as the UPC-A symbol, to indicate whether a misdecode of the Databar-limited symbol has occurred.

Abstract: A device includes a memory, a wireless transceiver and a positioning system. The memory stores a first area in which a wireless network lacks coverage. The wireless transceiver is adapted to communicate with the wireless network. The positioning system determines a position of the device to determine whether the device is located within the first area. The wireless transceiver does not attempt to communicate with the wireless network if the positioning system determines that the device is located within the first area.

Abstract: An image capture system for, and a method of, reading an optical code during a reading mode, comprise an aiming assembly including a laser for emitting a laser beam having a variable intensity, and for generating an aiming pattern from the laser beam during an aiming mode prior to the reading mode, and an imager for detecting and capturing an image of the aiming pattern and the code over a field of view by exposure over an exposure time period during the aiming mode, and for detecting and capturing an image of the code over the field of view during the reading mode. A controller is operative for controlling the intensity of the laser beam during the aiming mode by increasing the intensity of the laser beam during the exposure time period to enhance detection and capture of the aiming pattern by the imager, and by decreasing the intensity of the laser beam frame outside the exposure time period for user safety.

Abstract: An aiming pattern assembly (60) for an imaging-based bar code reader (10) including: a light source assembly (62) generating focused light; a pattern shaping assembly (66) receiving focused light from the light source assembly (62) and including a first area (66a) and a non-overlapping second area (66b), focused light passing through the first area (66a) creating a first aiming pattern (P1) projected toward a field of view (FV) and passing through the second area (66b) creating a second aiming pattern (P2) projected toward the field of view (FV); and a pattern selection assembly (68) receiving the first and second aiming patterns (P1, P2) and passing at least one of the first and second aiming patterns (P1, P2).

Abstract: An operator is guided to move an imaging reader to an optimum reading position in which to read a symbol by image capture. Optimum image capture occurs substantially at an imaging plane of an imaging assembly, and the operator is visually guided so that the symbol is located substantially at the imaging plane in a working range of distances.

Abstract: Described is a system and method for optical character recognition in an image. The method comprising identifying a connected component in an image, computing at least one parameter for the connected component and selecting a portion of the image corresponding to the connected component for optical character recognition when the at least one parameter is within a predetermined threshold range.

Abstract: An aiming light assembly supported by a mobile imaging reader projects an aiming light pattern on a symbol. A controller modulates the aiming light pattern to render the aiming light pattern more visibly discernible to an operator, especially in a brightly lit ambient environment, to enable the operator to position the aiming light pattern on the symbol prior to reading.

Abstract: An aiming pattern assembly (60) for an imaging-based bar code reader (10) including: a light source assembly (62) generating focused light; a pattern shaping assembly (66) receiving focused light from the light source assembly (62) and including a first area (66a) and a non-overlapping second area (66b), focused light passing through the first area (66a) creating a first aiming pattern (P1) projected toward a field of view (FV) and passing through the second area (66b) creating a second aiming pattern (P2) projected toward the field of view (FV); and a pattern selection assembly (68) receiving the first and second aiming patterns (P1, P2) and passing at least one of the first and second aiming patterns (P1, P2).

Abstract: An imaging system for acquiring images of multiple indicia, such as symbols and non-symbols, on a target, such as a label, comprises a solid-state imager having an array of image sensors for capturing light from the indicia on the target over a field of view, and a controller having a stored template that identifies details of the indicia on the target, for controlling the imager to capture the light from the indicia based on the details identified by the template.

Abstract: A system and method for performing a read operation including acquiring a series of frames of image data; processing a first frame of image data including an array of pixel data acquired while an aiming pattern was generated for determining a location L of at least one pixel of the array of pixel data that corresponds to the aiming pattern; and processing a second frame of image data acquired while the aiming pattern was not generated. The processing of the second frame of image data includes the steps of selecting at least one optical code acquired in the second frame of image data that is located at a respective location; wherein the respective location meets a predetermined condition relative to the determined location L; and providing the selected at least one optical code for further processing in accordance with the read operation.

Abstract: A system and method is provided for selectively activating biometric sensors (102, 104, 106) to authenticate the identity of an individual while conserving system resources. A biometric system has at least two tiers of sensors, first (102) and second tier sensors (104, 106), where the first tier sensors (102) are characteristically less sophisticated and less expensive to operate than the second tier sensors (104, 106). One or more of the second tier sensors (104, 106) are activated only after a user's biometric is successfully or unsuccessfully verified by one of the first tier sensors (102). Alternatively, the second tier sensors (104, 106) are activated in response to a user requesting a particular level of service or in response to an environmental condition. Alternatively, only those sensors are turned on which are compatible with a user's biometric profile.

Abstract: A system and apparatus are disclosed for modeling patterns of behavior of humans or other animate objects and detecting a violation of a repetitive pattern of behavior. The behavior of one or more persons is observed over time and features of the behavior are recorded in a multi-dimensional space. Over time, the multi-dimensional data provides an indication of patterns of human behavior. Activities that are repetitive in terms of time, location and activity, such as sleeping and eating, would appear as a Gaussian distribution or cluster in the multi-dimensional data. Probability distribution functions can be analyzed using known Gaussian or clustering techniques to identify repetitive patterns of behavior and characteristics thereof, such as a mean and variance. Deviations from repetitive patterns of behavior can be detected and an alarm can be triggered, if appropriate.

Abstract: Described is a system and method for bar code detection. The method comprises generating a digitized bar pattern (DBP) including a series of elements corresponding to elements of a scanned bar code, and identifying a first set of margins around a first portion of the series of elements. When an attempt to decode the first portion is unsuccessful, the first portion is analyzed to determine a second set of margins around a second portion of the series of elements, the second set of margins being within the first set of margins, and the second portion is input to a decoding algorithm.

Abstract: An imaging-based bar code reader that includes an item guide to guide movement of an item including a target bar code such that target bar code passes through a field of view of the reader in a straight line. The reader further includes an imaging and decoding system to: 1) capture a series of images which include at least a part of the target bar code as the bar code is moved through the field of view of the reader; 2) sequentially analyze the series of captured images, for each captured image, identifying areas of the captured image representative of an image of the target bar code and decode decodable portions of the imaged target bar code; and 3) combining the decoded portions of the imaged target bar code using a sequence stitching method to obtain a full decode of the target bar code.

Abstract: A transaction card 10 for use in a transaction includes a memory 15 and pressure sensors 20. The authorized user provides biometric data, such as a signature, by signing on the pressure sensors (20) using a pointer for storage in the memory (15) when the card is used for the first time. The signature is not visible on the card for added security. At the point of use of the transaction card (10), such as the point of sale, the user signs on an input device (50) such as a digital tablet, a tablet with pressure sensors or a slip of paper. This newly acquired signature (55) is compared with the signature stored on the transaction card (10), such as by displaying the stored signature out of the view of the user and comparing displayed signature with the acquired signature (55). The comparison may be performed by the service-providing associate or by a processor coupled to the input device (50).

Abstract: A system and method for classifying facial image data, the method comprising the steps of: training a classifier device for recognizing one or more facial images and obtaining corresponding learned models the facial images used for training; inputting a vector including data representing a portion of an unknown facial image to be recognized into the classifier; classifying the portion of the unknown facial image according to a classification method; repeating inputting and classifying steps using a different portion of the unknown facial image at each iteration; and, identifying a single class result from the different portions input to the classifier.

Abstract: Methods, systems, and apparatuses for identifying items carried by a mobile structure are described. At a first location of the mobile structure, a first radio frequency identification (RFID) read signal is directed to a load carried by the mobile structure to identify an initial set of RFID tags. At a subsequent location of the mobile structure, a subsequent read signal is directed to the load carried by the mobile structure to identify a subsequent set of RFID tags. The initial set of RFID tags and the subsequent set of RFID tags are compared to determine a set of RFID tags associated with the load.

Abstract: An imaging-based bar code reader that includes an item guide to guide movement of an item including a target bar code such that target bar code passes through a field of view of the reader in a straight line. The reader further includes an imaging and decoding system to: 1) capture a series of images which include at least a part of the target bar code as the bar code is moved through the field of view of the reader; 2) sequentially analyze the series of captured images, for each captured image, identifying areas of the captured image representative of an image of the target bar code and decode decodable portions of the imaged target bar code; and 3) combining the decoded portions of the imaged target bar code using a sequence stitching method to obtain a full decode of the target bar code.

Abstract: Described is a system and method for bar code detection. The method comprises generating a digitized bar pattern (DBP) including a series of elements corresponding to elements of a scanned bar code, and identifying a first set of margins around a first portion of the series of elements. When an attempt to decode the first portion is unsuccessful, the first portion is analyzed to determine a second set of margins around a second portion of the series of elements, the second set of margins being within the first set of margins, and the second portion is input to a decoding algorithm.

Abstract: Described is a system and method for optical character recognition in an image. The method comprising identifying a connected component in an image, computing at least one parameter for the connected component and selecting a portion of the image corresponding to the connected component for optical character recognition when the at least one parameter is within a predetermined threshold range.