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The Third International Conference on Artificial Intelligence and Education
The Third International Conference on Artificial Intelligence and Education attracted over 400 participants from all over the world who gathered to present projects reports, exchange views, discuss common problems, and establish contacts concerning AI and education. This article presents a synopsis of the major presentations and an overview of the conference as a whole.
Recognizing Address Blocks on Mail Pieces: Specialized Tools and Problem-Solving Architecture
Srihari, Sargur N., Wang, Ching-Huei, Palumbo, Paul W., Hull, Jonathan J.
An important task in postal automation technology is determining the position and orientation of the destination address block in the image of a mail piece such as a letter, magazine, or parcel. Analysis of physical characteristics of mail pieces indicates that in order to automate the address finding task, several different image analysis operations are necessary. Some examples are locating a rectangular white address label on a multicolor background, progressively grouping characters into text lines and text lines into text blocks, eliminating candidate regions by specialized detectors (for example, detecting regions such as postage stamps), and identifying handwritten regions. Described here are several operations, their utility as predicted by statistics of mail piece characteristics, and the results of applying the operations to a task set of mail piece images.