Kim Ho Yeon , Im Gil Taeg , Kim Du Sig , Nam Yu Seog

The KIPS Transactions:PartB , Vol. 10, No. 4, pp. 429-442, Aug. 2003
10.3745/KIPSTB.2003.10.4.429,   PDF Download:

Abstract

In this paper, we describe an address image recognition system for automatic processing of standard-size letter mail. The inputs to the system are gray-level mail piece images and the outputs are delivery point codes with which a delivery sequence of carrier can be generated. The system includes five main modules; destination address block location, text line separation, character segmentation, character recognition and finally address interpretation. The destination address block is extracted on the basis of experimental knowledge and the line separation and character segmentation is done through the analysis of connected components and vertical runs. For recognizing characters, we developed MLP-based recognizers and dynamical programming technique for interpretation. Since each module has been implemented in an independent way, the system has a benefit that the optimization of each module is relatively easy. We have done the experiment with live mail piece images directly sampled from mail sorting machine in Yuseong post office. The experimental results prove the feasibility of our system.

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