Improving Scanning N-tuple Classiiers by Pre-transforming Training Data

A new method of applying n-tuple recognition techniques to handwritten OCR has recently been reported by the author, which involves scanning an n-tuple classiier over a chain-code of the image. In scanning n-tuple systems, the traditional advantages of n-tuple recognition i.e. training and recognition speed are retained, while ooering superior recognition accuracy over the standard n-tuple method. This paper explores some ways of improving the accuracy of sn-tuple systems and gives detailed information regarding the CPU time involved in sn-tuple classiication.