Title :
Fast address block location on handwritten and machine printed mail-piece images
Author :
Wolf, M. ; Niemann, H. ; Schmidt, W.
Author_Institution :
Bavarian Res. Center for Knowledge Based Syst., Erlangen, Germany
Abstract :
We present a fast approach for the detection of address blocks on images of oversized flat mail-pieces with a size up to 35×25 cm. In contrast to standard size envelopes the position of the address block cannot be restricted to the lower right region of the mail-piece. Furthermore the envelopes are mixed up with advertising, the return address, logos and other noise making the detection more complicated. In addition, for usage in a practical mail sorting system the recognition of the address block has to be accomplished within 200 ms for handwritten and machine printed addresses. In this approach a method based on the detection of inhomogeneous blocks is described. The image of the envelope is divided into small rectangular blocks for which a measure of homogeneity is evaluated. After determining an adaptive threshold inhomogeneous blocks are detected in a hierarchical search process. Adjacent inhomogeneous blocks are then merged to areas of arbitrary shapes. These areas are represented by the smallest enclosing rectangle. Several features are calculated for each area and a plausibility test is performed. The best scored area is assumed to contain the address block and is passed to an optical character recognition system. This approach meets the above mentioned time constraint on an i-860 based computer and has an excellent reliability
Keywords :
document image processing; handwriting recognition; image segmentation; mailing systems; optical character recognition; performance evaluation; adaptive threshold; address block recognition; fast address block location; handwritten mail-piece images; hierarchical search process; i-860 based computer; inhomogeneous block detection; machine printed mail-piece images; mail sorting system; optical character recognition system; rectangular blocks; reliability; test; time constraint; Advertising; Character recognition; Envelope detectors; Handwriting recognition; Optical character recognition software; Performance evaluation; Postal services; Shape; Sorting; Testing;
Conference_Titel :
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location :
Ulm
Print_ISBN :
0-8186-7898-4
DOI :
10.1109/ICDAR.1997.620610