中国人民公安大学 侦查学院,北京 100038
Received:18 January 2025,
Revised:2025-05-26,
Published:20 September 2025
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田紫雲,陈维娜,孙林杰等.基于视频光谱结合多项式纹理映射技术鉴别黑色书写墨迹[J].光学技术,2025,51(05):626-633.
TIAN Ziyun,CHEN Weina,SUN Linjie,et al.Identification of black handwriting ink tracks based on video spectrum combined with polynomial texture mapping[J].OPTICAL TECHNIQUE,2025,51(05):626-633.
当前黑色书写墨迹的检验方法普遍存在操作复杂、损坏检材等问题;为了探寻快速无损鉴别黑色墨迹的方法;采用视频光谱结合多项式纹理映射技术(PTM),考察了市场上114支不同品牌型号的黑色签字笔,首先用视频光谱仪进行红外光吸收检验和荧光检验,在此基础上PTM检验获得其反射率可视化图像,并进行量化分析;结果显示不同墨迹PTM图像的灰度值和平均光密度值存在差异,且具有负相关线性关系,可以区分视频光谱法难以区分的黑色墨迹。
Current examination methods of black handwriting ink tracks generally suffer from operational complexity and damage to samples. To find a rapid and non-destructive method
this experiment investigated 114 black pens of different brands and models
adopting the method of video spectrum combined with polynomial texture mapping(PTM). First
infrared light absorption test and fluorescence test were carried out with a video spectrometer. On this basis
obtain its reflectance visualization image by PTM
and perform quantitative analysis. The result showed the gray value and average optical density of PTM images varied among different tracks
and exhibited a negative linear correlation
enabling the distinction of black ink tracks that video spectroscopy cannot differentiate.
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