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A new normalization technique for cursive handwritten words

机译:草书手写单词的一种新的归一化技术

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This paper presents new techniques for slant and slope removal in cursive handwritten words. Both methods require neither heuristics nor parameter tuning. This avoids the heavy experimental effort required to find the optimal con- figuration of a parameter set. A comparison between the new deslanting technique and the method proposed by Bo- zinovic and Srihari was made by measuring the performance of both methods within a word recognition system tested on different databases. The proposed technique is shown to improve the recognition rate by 10.8(K, relative to traditional normalization methods. Moreover, a long exploration of the parameter space is avoided.
机译:本文介绍了草书手写单词中的倾斜和坡度消除的新技术。两种方法都不需要启发式方法或参数调整。这避免了为找到参数集的最佳配置而进行的繁重的实验工作。通过测量在不同数据库上测试的单词识别系统中两种方法的性能,将新的去斜技术与Bozinovic和Srihari提出的方法进行了比较。与传统的归一化方法相比,该技术可将识别率提高10.8(K),而且避免了对参数空间的长时间探索。

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