DocumentCode
2190669
Title
Form-based localization of the destination address block on complex envelopes
Author
Wolf, M. ; Niemann, H.
Author_Institution
Res. Group Knowledge Process., Bavarian Res. Center for Knowledge Based Syst., Erlangen, Germany
Volume
2
fYear
1997
fDate
18-20 Aug 1997
Firstpage
908
Abstract
Address block localization on mail pieces is an important task in postal automation. Unlike personal letters, business letters or postcards which have a high degree of global spatial structure among a limited number of entities, mail pieces of magazines and advertising do not have a preferred position of the address block which can be pasted in an arbitrary position and orientation. Items packaged in clear plastic, allowing the underlying print to show through, may cause further problems, as well as graphics, pictures and other printed text on such covers which also make the address block localization more complicated. In this paper, we present an approach for automatically locating the address block on covers of magazines, advertising letters and newspapers based on the recognition of the structure of a German address. First, we use a thresholding technique to decompose the image into smaller blocks. Then, these blocks are classified into characters and large characters. Afterwards blocks are searched which might be a corner of an address block. Starting from these blocks adjacent blocks are combined to connected regions line by line. These regions are candidates for an address block and are assessed in the last step. Heuristic rules and typical features are used to identify the correct destination address block among these candidates. Experimental results using images of different magazines, newspapers and advertising letters are given. Performance and speed are also indicated
Keywords
document image processing; image classification; image segmentation; mailing systems; optical character recognition; performance evaluation; postal services; German address; address block localization; advertising; character recognition; complex envelopes; destination address block; form-based localization; global spatial structure; graphics; heuristic rules; image classification; image regions; image segmentation; magazines; mail pieces; newspapers; performance; pictures; postal automation; printed text; thresholding technique; Advertising; Automation; Costs; Graphics; Image segmentation; Knowledge based systems; Machine vision; Plastic packaging; Postal services; Sorting;
fLanguage
English
Publisher
ieee
Conference_Titel
Document Analysis and Recognition, 1997., Proceedings of the Fourth International Conference on
Conference_Location
Ulm
Print_ISBN
0-8186-7898-4
Type
conf
DOI
10.1109/ICDAR.1997.620643
Filename
620643
Link To Document