Segmentation of banknote serial number with predicting priori knowledge
Huili Zhang · Jisuanji yingyong yanjiu · 2014
As the banknote character segmentation results are seriously influenced by all kinds of noise and pollution,this paper proposed a character segmentation algorithm based on predicting priori knowledge. For some kinds of banknotes,it used the unique number arrangement to define the state of Markov chains,and then calculated the set of Markov transitions to get its priori knowledge. Combined with connected-component-based and projection-based algorithms,it obtained the optimized segmentation result. Tests in both various denominations of RMB and parts of the foreign currency data set show that this method is feasible,the results comparisons with the traditional connected-component-based and projection-based algorithms display that this method is more accurate. For those images like dirty,folding-traces,character-adhesion etc,this method can get an optimal segmentation result and has better performance than the traditional algorithms.