Abstract: A portable imaging device includes a user operable pointing device that operates together with interactive segmentation functions and an OCR application for capturing and converting digitally recorded images to text. The user operable pointing device permits a user of the portable imaging device to identify a region in an image with textual content. The portable imaging device evaluates whether textual and formatting content in the segmented region can be properly analyzed by the OCR application. In addition, the portable imaging device provides a mode for translating text identified in recorded images.

Abstract: A portable imaging device includes a user operable pointing device that operates together with interactive segmentation functions and an OCR application for capturing and converting digitally recorded images to text. The user operable pointing device permits a user of the portable imaging device to identify a region in an image with textual content. The portable imaging device evaluates whether textual and formatting content in the segmented region can be properly analyzed by the OCR application. In addition, the portable imaging device provides a mode for translating text identified in recorded images.

Abstract: A system for performing optical pattern recognition includes a first detector neural network for detecting the presence of a particular optical pattern in an input image and a second locator neural network for locating and/or removing the particular optical pattern from the input image. The detector network and the locator network both comprise nodes which can take on the -1, +1, or undefined states. The nodes are arranged in layers and each node in a layer has a location corresponding to a pixel in the input image. A particular application of this neural network is in finding the amount field on a check and removing the line which borders the amount field.