A Survey of Methods and Strategies in Character Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Recognition-based handwritten Chinese character segmentation using a probabilistic Viterbi algorithm
Pattern Recognition Letters
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Segmentation System for Touching Handwritten Japanese Characters
IWFHR '02 Proceedings of the Eighth International Workshop on Frontiers in Handwriting Recognition (IWFHR'02)
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Segmentation of Japanese Handwritten Characters Using Peripheral Feature Analysis
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
SwiftPost: a vision-based fast postal envelope identification system
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
A hybrid handwritten chinese address recognition approach
ICONIP'06 Proceedings of the 13th international conference on Neural Information Processing - Volume Part II
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Character segmentation has become a crucial step for mail address recognition in the automatic post mail sorting system. In this paper, a two-stage character segmentation algorithm according to the characteristics of handwritten mail address characters is proposed. In the simple segmentation stage, the block sequence is extracted from the mail address image using the structure-based methob, including projection profile analysis, connected components analysis and stroke cross number analysis. In the precise segmentation stage, all candidate segmentation paths are created by combining the neighboring blocks and represented with a candidate segmentation graph first. Then several optimal candidate paths are selected from the graph by dynamic programming searching based on recognition confidence. Finally the best segmentation path is determined by matching these paths with the known post address database. In the experiment on more than 500 real envelop images with the this approach, the correct sorting rate of address recognition is up to 79.46% and that of address-postcode integrated recognition is up to 96.26%.