We present the design of a linguistic postprocessor for character recognizers. The central module of our system is a trainable variable memory length Markov model (VLMM) which predicts the next character given a variable length window of past characters. The overall system is composed of several nite state automata, including the main VLMM and a proper noun VLMM. The best model reported in the ...

A new approach to character recognition problem, based on meta sets, is introduced and developed. For the given compound character pattern consisting of a number of character samples accompanied by their corresponding quality degrees, and for the given testing character sample, the main theorem of the paper gives means to evaluate the correlation between the testing sample and the compound patt...

There are many difficulties facing a handwritten Arabic recognition system such as unlimited variation in human handwriting, similarities of distinct character shapes, interconnections of neighbouring characters and their position in the word. The typical Optical Character Recognition (OCR) systems are based mainly on three stages, preprocessing, features extraction and recognition. This paper ...

Game development success is often hard to achieve due various problems such as performance issues, malfunctioning features, and poorly organized program structure. The that arise can be prevented by using the design pattern a game programming architecture from beginning of development. By implementing pattern, process developing video games made easier simplified. team focus its efforts on prod...