A Character-Based Postprocessing System for Handwritten Japanese Address Recognition

摘要

Based on a previous work on handwritten Japanese kanji character recognition [1], a postprocessing system for handwritten Japanese address recognition is proposed. Ba- sically, the recognition system is composed of CombNET-II, a general-purpose large-scale character recognizer and MMVA, a modified majority voting system. Beginning with a set of char- acter candidates, produced by a character recognizer for each character that composes the input word and a lexicon, an in- terpretation to the input word is generated. MMVA is used in the postprocessing stage to select the interpretation that accu- mulates the highest score. In the case of more than one possible interpretation, the Conflict Analyzing System calls the character recognizer again to generate scores for each character that com- poses each interpretation to determine the final output word. The proposed word recognition system was tested with 2 sets of handwritten Japanese city names, and recognition rates higher than 99% were achieved, demonstrating the effectiveness of the method.