Study on Segmentation Algorithm for Unconstrained Handwritten Numeral Strings

In this paper, an integrated system of segmenting unconstrained handwritten numeral strings with unknown number of digits is proposed. The algorithm consists of the extraction of connected components based on vertical projection and isolated components analysis, the length estimation of connected components using syntax analysis and waveform analysis and the segmentation of unconstrained connected handwritten numeral strings using innovative reverse "drop-falling" algorithm. This segmentation system which has promising results is then incorporated into a complete bank check character recognition system