Optimization of random sampling for character recognition using larges binaries strings

摘要

Extract the most significant information for discriminate a phenomenon is a problem that does not have general solution. In the subject of pattern recognition, the search of model for represent the information and methods for coding models, helps us to get different methods for represent a phenomenon. One model for represent the information is using binary strings and one method for coding the information is a random sampling, which help us for character recognition. We must warrant that the probabilistic random sampling is significant and search an adequate sampling is the principal task for define one method of character recognition. This work preset a method for optimize a random sampling, which will use for build binary strings for character recognition.