The characters at the billet ends are connected and broken due to the complex scene. Good segmentation of these
connected and broken characters is very important in the characters recognition. However, it's difficult for the existing
segmentation algorithm to deal with these connected and broken characters. A segmentation algorithm based on multiple
feature decision is proposed to divide the connected and broken billet characters. It operates by projection to divide the
characters roughly and then multiple feature decision to judge and divide the connected and broken characters. A series
of segmentation experimental results show that the algorithm proposed is more effective than traditional segmentation
algorithm in deal with the connected and broken characters.
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