According to an exemplary embodiment, a method for pre-cropping digital image data includes: dividing the digital image into segments; computing a color value distance between corresponding pixels of neighboring segments of the digital image; comparing the color value distance(s) against a minimum color distance threshold; clustering neighboring segments having a color value distance less than or equal to the minimum color distance threshold; computing a connected structure based on the clustered segments; computing a polygon bounding the connected structure; comparing a fraction of segments included in the connected structure and the polygon, relative to a total number of segments in the digital image, to a minimum included segment threshold; and in response to determining the fraction of segments in the connected structure and the polygon, relative to the total number of segments meets or exceeds a minimum included segment threshold, cropping the digital image based on edges of the polygon.

Computer-implemented methods for detecting objects within digital image data based on color transitions include: receiving or capturing a digital image depicting an object; sampling color information from a first plurality of pixels of the digital image, wherein each of the first plurality of pixels is located in a background region of the digital image; assigning each pixel a label of either foreground or background using an adaptive label learning process; binarizing the digital image based on the labels assigned to each pixel; detecting contour(s) within the binarized digital image; and defining edge(s) of the object based on the detected contour(s). Corresponding systems and computer program products configured to perform the inventive methods are also described.

The disclosure provides a test result recognizing method and a test result recognizing device. The method includes: controlling an image-capturing device to capture a first image of a display screen according to an image-capturing parameter; in response to determining that a reference image area including a first designated character string exists in the first image, controlling the image-capturing device to capture a first test image of the display screen according to the image-capturing parameter; extracting a first image area corresponding to the reference image area from the first test image, and performing a text dividing operation on the first image area to convert the first image area into a second image area; and performing a text recognition operation on the second image area to obtain a first test result corresponding to the first test image.

The present disclosure is directed to systems and methods for identifying regions of interest (ROIs) in images. A computing system may identify an image including an annotation defining an ROI. The image may have a plurality of pixels in a first color space. The computing system may convert the plurality of pixels from the first color space to a second color space to differentiate the annotation from the ROI. The computing system may select a first subset of pixels corresponding to the annotation based at least on a color value of the first subset of pixels in the second color space. The computing system may identify a second subset of pixels included in the ROI from the image using the first subset of pixels. The computing system may store an association between the second subset of pixels and the ROI defined by the annotation in the image.

A test strip fixation device for use in a method of determining analyte concentration in a body fluid using a mobile device with a camera. The device has top and bottom surfaces, has an essentially planar shape, and also has a cut-out portion configured for application of a body fluid sample. The top surface has color reference fields with known reference color values, including grey and non-grey reference fields. The grey reference fields are symmetrically arranged around the cut-out portion and around at least some of the non-grey color reference fields. The top surface also has position detection code elements. The bottom surface has a connector configured for detachable connection of an optical test strip relative to the test strip fixation device, and a reagent test region of the test strip can be aligned with the cut-out portion. A method of using the device is also disclosed.

Vehicles and other items often have corresponding documentation, such as registration cards, that includes a significant amount of informative textual information that can be used in identifying the item. Traditional OCR may be unsuccessful when dealing with non-cooperative images. Accordingly, features such as dewarping, text alignment, and line identification and removal may aid in OCR of non-cooperative images. Dewarping involves determining curvature of a document depicted in an image and processing the image to dewarp the image of the document to make it more accurately conform to the ideal of a cooperative image. Text alignment involves determining an actual alignment of depicted text, even when the depicted text is not aligned with depicted visual cues. Line identification and removal involves identifying portions of the image that depict lines and removing those lines prior to OCR processing of the image.

A document forgery detection method comprising using at least one processor for providing at least one histogram of gray level values occurring in at least a portion of at least one channel of an image assumed to represent a document including text, the histogram having been generated by image processing at least a portion of at least one channel of an image assumed to represent a document including text, the image having been sent by a remote end user to an online service over a computer network, evaluating monotony of at least a portion of the at least one histogram; and determining whether the image is authentic or forged based on at least one output of the evaluating.

A customer premises parking system including one or more cameras and wireless communications transmission capability is described. The presence of a vehicle with a license plate at an entrance or exit of a parking area is detected and one or more high resolution images are captured and time stamped. A license plate portion of the HD image is captured and stored. The license plate number and corresponding time is determined and communicated using a wide area wireless network. The HD license plate portion of the image is processed to produce a low resolution version of the license plate image which is segmented and processed into fragments which are transmitted via the wide area network using available transmission opportunities. A high resolution version of the license plate portion is stored at the premises where the parking facilitate is located and can be retrieved via a cellular wireless interface in the event of a dispute or discrepancy with regard to the detected and reported license plate number. From the time stamps associated with entrance and exit images of license plates the amount of time and/or date at which a vehicle was present at the parking garage is determined and the vehicle owner billed for the use of the parking facility.

Apparatus for determining information associated with reflection characteristics of a surface comprising a sensor (60) configured to generate sensor output dependent on an intensity of light incident on the sensor and having a field of view directed at an external surface (57) in use; an illumination source (58) configured to emit light onto the external surface in use; an optically transparent window (61) located such as to allow light to pass from the illumination source to the external surface and to allow light to pass to the sensor from the external surface in use; a light concentrator (66) fixed to or integral with the window, the light concentrator being configured to concentrate at least some light from the illumination source onto the external surface in use such that the concentrated light may be reflected from the external surface onto the sensor via the window; and a processor (40) configured to use the sensor output to determine information associated with reflection characteristics of the external surface.

Systems and methods are operable to record a user-specified media content event at a media device. An exemplary embodiment grabs a series of subsequently received image frames from a preceding broadcasting media content event after a monitored real time reaches a closing credits monitor time, wherein the closing credits monitor time is a recording start time less a predefined duration. The embodiment then analyzes each of the image frames to identify an occurrence of text presented in the analyzed image frame, determines that the identified text corresponds to closing credits of the preceding broadcasting media content event if the at least one attribute of the identified text matches a corresponding predefined closing credits attribute, and initiates a start of the recording of the user-specified media content event in response to determining that the identified text corresponds to the closing credits of the preceding broadcasting media content event.