摘要
新闻编辑从发明人提供的背景信息中获得了以下引文：“鉴定笔迹分析，也称为手写生物识别或签名验证，”是一种用于验证手写签名或文件真实性的技术。该过程涉及分析笔迹特征判断其是否与自己的签名相符文件。笔迹分析的基础是每个人都有独特的笔迹风格，这是由物理和行为因素共同决定的。这些因素包括肌肉控制，手眼协调，书写速度，压力，字母的形状和大小以及字母的书写元素。笔迹的计算机分析包括使用软件扫描和分析笔迹样本以识别模式和/或特征S，所述模式和/或特征S可用于确定样本是否匹配。一些设备使用机器学习算法来识别手上的图案和/或特征书写并提高笔迹分析的准确性。
Abstract
News editors obtained the following quote from the background information suppli ed by the inventors:“Handwriting analysis for authentication, also known as han dwriting biometrics or signature verification,is a technique used to verify the authenticity of a handwritten signature or document. The process involvesanaly zing the characteristics of the handwriting to determine whether it matches a kn own signature ordocument. Handwriting analysis is based on the idea that every person has a unique handwriting style,which is determined by a combination of p hysical and behavioral factors. These factors include musclecontrol, hand-eye c oordination, writing speed, pressure, and the shape and size of letters and othe r writingelements. Computerized analysis of handwriting involves using software to scan and analyze the handwritingsamples to identify patterns and/or feature s that can be used to determine whether the samples match.Some devices use mach ine learning algorithms to identify the patterns and/or the features in the handwriting and improve the accuracy of the handwriting analysis.”
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