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Separating handwritten and typewritten text within unconstrained paper documents can provide more accurate and efficient OCR results. This paper presents a technique developed that can isolate both the typewritten and handwritten portions of a document image. The classification between handwritten and typewritten text occurs at both the character and the(More)
In unconstrained document images, social security numbers can occur in very unpredictable states. This paper presents techniques in segmenting and recognizing the social security number image. We explore the use of relative locations to separate the image into groups of digits. We implement an existing segmen-tation technique that utilizes both the(More)
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