In this research, we offered a new and simple way of Handwriting Characters Recognition. This way extracts positions of the black points from binary images (black, white) according to certain coordinates which are used in the stages of training and testing. The extracted positions are stored in a database according to appropriate structure for predictive data mining. We used training data to build a predictive model which helps in Recognition testing data depending on the data stored in the database. We have conducted a number of tests on different samples of handwriting character images. We got accurate results, within the required conditions.