一种笔迹特征分析方法及装置

• Format: Patent
• Language: Chinese
• Published: 10.05.2024
• Subjects: CALCULATING; COMPUTING; COUNTING; PHYSICS

本发明公开了一种笔迹特征分析方法及装置，该方法包括：提取手写文本图像中的文字特征和关键笔画书写特征；根据预设的打分标准得到文字特征中每一子特征对应的分值，将每一分值与文字特征分项数据库中的数据进行匹配，得到第一笔迹分析结果；计算文字特征的总分值，将总分值与文字特征分项数据库中的数据进行匹配，得到第二笔迹分析结果；将关键笔画书写特征与关键笔画书写特征权重结合后与关键笔画书写特征数据库中的数据进行匹配，得到第三笔迹分析结果；融合第一分析结果、第二分析结果和第三分析结果得到笔迹特征的整体分析结果。本发明实施例无需依赖人为的主观判断，且结合多种特征数据进行分析，能够使得笔迹特征分析更加全面和准确。 The invention discloses a handwriting feature analysis method and device. The method comprises the following steps: extracting character features and key stroke writing features in a handwritten text image; obtaining a score corresponding to each sub-feature in the character features according to a preset scoring standard, and matching each score with data in a character feature subitem database to obtain a first handwriting analysis result; calculating a total score of the character features, and matching the total score with data in a character feature subitem database to obtain a second handwriting analysis result; combining the key stroke writing feature with the key stroke writing feature weight, and matching w