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JaalTaka:用于检测假冒孟加拉国纸币的基准数据集
Bibhas Roy Chowdhury Piyas1, Fatama Jannat Tisha1, Sadia Rahman2
1Department of Software Engineering, Daffodil International University, Dhaka 1216, Bangladesh.
Data in brief
|January 9, 2026
概括
研究人员开发了JaalTaka,这是孟加拉国纸币的新数据集,以打击伪造货币. 该资源有助于创建先进的检测系统,增强经济稳定和对金融交易的信任.
科学领域:
- 计算机科学 计算机科学
- 数据科学数据科学数据科学
- 经济学 经济学 经济学
背景情况:
- 伪造货币对全球经济稳定和公众信任构成重大威胁,特别是在依赖现金的经济体.
- 由于获得相关数据集的挑战,对伪造纸币检测的研究有限.
- 现有的关于纸币识别和分类的研究不足以解决假冒的检测问题.
研究的目的:
- 引入第一个公开可用的基准数据集,JaalTaka,用于孟加拉国伪造纸币的检测.
- 为开发和评估先进的假冒检测系统提供可靠的基础.
- 加强金融安全和公众对货币完整性的信心.
主要方法:
- 编制了一组数据集,包括1390张孟加拉国纸币的图像 (802张是真纸币,588张是假纸币).
- 捕获了每张纸币的六张细分图像,以突出细微的安全功能差异.
- 包括各种条件 (新,磨损,标记,染色) 的纸币,以确保数据集的稳定性.
主要成果:
- 贾尔塔卡数据集为伪造纸币研究提供了一个全面的资源.
- 它可以开发更准确,更强大的假冒检测算法.
- 促进对检测假冒孟加拉泰卡的具体挑战的研究.
结论:
- 贾尔塔卡数据集是解决伪造纸币检测有限资源的关键一步.
- 它作为未来金融安全研究和开发的基准.
- 促进建立有效的系统来打击货币伪造.
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