Segmentation and recognition for handwritten 2-letter state names
S. Tsuruoka, Fumitaka Kimura, Yoshihiro Miyake, M. Shridhar, Z. Chen · 2002
Proposes a new splitting algorithm for two-letter state name (state-name abbreviation) segmentation to recognize the state name on mail pieces. The merit of this algorithm is that the splitting point is located near the center of 0-projections, and it is especially effective for images in which the widths of each latter are different, such as "IN", "HI", "WI" and "MI". The performance of the algorithm is tested by real USPS mail envelopes. The correct segmentation rate obtained by the segmentation algorithm is 95.4% (91.7% by Kimura's splitting method) for two-letter state name images (932 images).>