Content Analysis of Document Images Using the Adam Associative Memory
نویسنده
چکیده
An essential part of image analysis is the location and identiication of objects within the image. Noise and clutter make this identiication problematic, and the size of the image may present computational diiculties. To overcome these problems , a window onto the image is used to focus onto small areas. Conventionally, it is still necessary to know the size of the object to be searched for in order to select a window of the correct size. A method is described for object location and classiication which allows the use of a small window to identify large objects in the image. The window focusses on features in the image, and an associative memory recalls evidence for objects from these features, avoiding the necessity of knowing the dimensions of the objects to be detected.
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