摘要
常规的多方交易数据完整性验证主要采用数据边界值验证法,忽略了数据堆叠对验证过程造成的影响,导致数据完整性验证结果生成代价较高。因此,提出基于光学字符识别(OCR)技术的多方交易数据完整性验证方法。采用OCR识别技术分别切分数据行及字符,根据切分的数据抽取交易的全局特征。构建交易数据特征的柯西矩阵,分析验证数据的完整性。实验结果表明:所提方法应用后得出的多方交易数据完整性验证结果表现出的生成代价较低,验证性能较优,满足了多方交易环节中对交易数据可信度的需求。
Conventional multi-party transaction data integrity verification mainly uses data boundary values to verify the integrity of data,ignoring the impact of data stacking on the verification process,resulting in high cost of data integrity verification results.Therefore,a multi-party transaction data integrity verification method based on Optical Character Recognition(OCR)technology is proposed.OCR recognition technology is used to split the data lines and characters respectively,and the global characteristics of transactions are extracted according to the split data.The Cauchy matrix of the transaction data characteristics is built to analyze and verify the integrity of the data.The experiment results show that the integrity verification results of multi-party transaction data obtained after the application of the proposed method show a low generation cost and better verification performance,which meets the demand for the credibility of transaction data in the multi-party transaction link.
作者
李玉
刘俊
高也
胡怡
徐升辉
张斓曦
LI Yu;LIU Jun;GAO Ye;HU Yi;XU Sheng-hui;ZHANG Lan-xi(Aostar Information Technologies Co.,Ltd.,Chengdu 610042,China)
出处
《信息技术》
2025年第9期120-125,共6页
Information Technology
关键词
多方交易
交易数据
数据完整性
OCR识别技术
完整性验证
multi-party transactions
transaction data
data integrity
OCR recognition technology
integrity verification
