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systematic extraction of image features; collateral linguistic description are obtained by the automatic extraction of single and compound keywords. We give a formal description of the system using the Z formal specification notation. An image data set comprising 480 fluorescent stained images of lymphocytes was used in the
search for candidate lexicons in a given database according to the extracted keywords. Each lexicon is compared with the image to find the best match between the radicals and the given string by substring alignment. In this process, the segmentation and recognition results are determined synchronously. Our method is tested
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