Radon Transformation and Principal Component Analysis Method Applied in Postal Address Recognition Task

In this paper a new method of handwritten characters recognition is introduced. The proposed algorithm is applied to classification of post mails on the basis of zip code information. In connection with this work the research was conducted with numeric characters used in real post code of mail pieces. Moreover article contains basic image processing for instance filtration binarization and normalization of the character. The main objective of this article is to use the Radon Transform and Principal Component Analysis methods to obtain a set of invariant features, on basis of which postal code will be recognized. The reported experiments results prove the effectiveness of the proposed method. Furthermore sources of errors as well as possible improvement of classification results will be discussed.