关键词: 连续手写中文, 单字提取, 遗传算法, 识别得分

Abstract: There are characters with apart far radicals and touching and overlapping characters in continuous handwriting Chinese.To address this problem，the paper proposes a novel approach to extract characters from handwriting Chinese based on character recognition score using an improved genetic algorithm.Chromosomes are randomly encoded into binary strings according to the number of strokes，adjacent genes with 1s or 0s form candidate characters.Characters are recognized using Hanwang handwriting character recognizer.The approach is to produce a recognized string with less characters and a larger score.Mutation probabilities and crossover ones are calculated adaptively.Many applications show that the approach is effective and robust for character extraction from continuous handwriting Chinese.

Key words: continuous handwriting Chinese, character extraction, genetic algorithm, character recognition score