Generating synthetic handwriting using n-gram letter glyphs

Arka Ujjal Dey, Gaurav Harit
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引用次数: 2

Abstract

We propose a framework for synthesis of natural semi cursive handwritten Latin script that can find application in text personalization, or in generation of synthetic data for recognition systems. Our method is based on the generation of synthetic n-gram letter glyphs and their subsequent concatenation. We propose a non-parametric data driven generation scheme that is able to mimic the variation observed in handwritten glyph samples to synthesize natural looking synthetic glyphs. These synthetic glyphs are then stitched together to form complete words, using a spline based concatenation scheme. Further, as a refinement, our method is able to generate pen-lifts, giving our results a natural semi-cursive look. Through subjective experiments and detailed analysis of the results, we demonstrate the effectiveness of our formulation in being able to generate natural looking synthetic script.
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生成合成手写使用n-gram字母字形
我们提出了一个自然半草书手写拉丁文字的合成框架,该框架可以在文本个性化或识别系统合成数据的生成中找到应用。我们的方法是基于合成n-gram字母符号的生成及其随后的连接。我们提出了一种非参数数据驱动的生成方案,该方案能够模拟在手写字形样本中观察到的变化,以合成自然外观的合成字形。然后使用基于样条的连接方案将这些合成的符号拼接在一起形成完整的单词。此外,作为改进,我们的方法能够生成笔画,使我们的结果具有自然的半草书外观。通过主观实验和对结果的详细分析,我们证明了我们的配方能够生成自然外观的合成脚本的有效性。
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