Abstract
New methods for generating synthetic handwriting images for biometric applications have recently been developed. The temporal evolution of handwriting from childhood to adulthood is usually left unexplored in these works. This paper proposes a novel methodology for including temporal evolution in a handwriting synthesizer by means of simplifying the text trajectory plan and handwriting dynamics. This is achieved through a tailored version of the kinematic theory of rapid human movements and the neuromotor inspired handwriting synthesizer. The realism of the proposed method has been evaluated by comparing the temporal evolution of real and synthetic samples both quantitatively and subjectively. The quantitative test is based on a visual perception algorithm that compares the letter variability and the number of strokes in the real and synthetic handwriting produced at different ages. In the subjective test, 30 people are asked to evaluate the perceived realism of the evolution of the synthetic handwriting.
Abstract (translated)
近年来，为生物识别应用开发新的手写图像生成方法已经引起了关注。然而，在这些研究中，通常会忽略手写从童年到成年的时间演变。本文提出了一种通过简化文本轨迹计划和手写动态来包括时间演变得手写生成器的新方法。这通过定制快速人类运动学理论和仿神经肌肉手写合成器实现。所提出方法的真实性通过比较真实和合成样本的时间演变进行定量测试和主观测试来评估。定量测试基于视觉感知算法，比较不同年龄下真实和合成手写样本的字母变异性数量。在主观测试中，30个人被要求评估合成手写演变的感知真实性。
URL
https://arxiv.org/abs/2401.15472
