Abstract
Segmentation of highly slanted and horizontally overlapped characters is a challenging research area that is still fresh. Several techniques are reported in the state of art, but produce low accuracy for the highly slanted characters segmentation and cause overall low handwriting recognition precision. Accordingly, this paper presents a simple yet effective approach for character segmentation of such difficult slanted cursive words without using any slant correction technique. Rather a new concept of core-zone is introduced for segmenting such difficult slanted handwritten words. However, due to the inherent nature of cursive words, few characters are over-segmented and therefore, a threshold is selected heuristically to overcome this problem. For fair comparison, difficult words are extracted from the IAM benchmark database. Experiments thus performed exhibit promising result and high speed.
Abstract (translated)
高度倾斜和水平重叠字符的分割是一个具有挑战性的研究领域，目前仍处于空白状态。目前已有一些技术报道，但由于高度倾斜的字符分割精度较低，导致整体手写识别精度较低。因此，本文提出了一种简单而有效的方法，在不使用任何倾斜校正技术的情况下，对这种困难的倾斜草书字进行字符分割。更确切地说，引入了一个新的核心区概念来分割这种难的倾斜手写词。然而，由于草书字的固有性质，很少有字符被过度分割，因此，通过启发式选择阈值来克服这个问题。为了进行公平比较，从IAM基准数据库中提取困难词。实验结果表明，该方法具有良好的效果和较高的速度。
URL
https://arxiv.org/abs/1904.00792
