| 摘要 |
A method of reading data represented by characters formed of an x by y array of dots, e.g. as printed by a dot-matrix printer, is described. An image of the character(s) is captured by a digital camera device and transmitted to a computer, and by using analysis software operating in the computer to which the camera image has been sent, dot shapes are identified and their positions within the captured image detected, using the similarity of dots to idealized representations of dots using a combination of covariance, correlation or color data. The position information about the detected dots is then processed to determine the distance between dots and to identify “clusters” of adjacent dots in groups of dots close to one another, and to enable such clusters to be mapped on to a notional x by y grid that defines the intended positions of the dots where grid elements intersect. The image is then analyzed to determine, for each intersection of the grid, whether a dot is present or not, and starting at one corner of the x by y grid, a binary number is generated corresponding to the presence or absence of a dot at each intersection. This binary number is compared with the binary number in a reference table of binary numbers referenced to information corresponding to a dot-matrix printed character, and an output then produced corresponding to the character(s) identified. By using Reed Solomon mathematics, characters which have been misprinted can still be reliably identified. |
