Neuroprose paper available

[John Platt]

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FTP-filename: /pub/neuroprose/wolf.address-block.ps.Z

The following paper has been placed in the Neuroprose archives at Ohio
State. The file is wolf.address-block.ps.Z . Only the electronic version
of this paper is available.  This paper is 8 pages in length. 

NOTE: The uncompressed postscript file is approximately 2.7 megabytes in
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     Postal Address Block Location Using A Convolutional Locator Network

			 Ralph Wolf and John C. Platt
			       Synaptics, Inc.
			     2698 Orchard Parkway
			      San Jose, CA 95134

				  ABSTRACT:

    This paper describes the use of a convolutional neural network to
    perform address block location on machine-printed mail pieces.
    Locating the address block is a difficult object recognition problem
    because there is often a large amount of extraneous printing on a mail
    piece and because address blocks vary dramatically in size and shape.
    
    We used a convolutional locator network with four outputs, each trained
    to find a different corner of the address block.  A simple set of
    rules was used to generate ABL candidates from the network output. The
    system performs very well: when allowed five guesses, the network will
    tightly bound the address delivery information in 98.2% of the cases.

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							John Platt
							platt at synaptics.com