OOXML Document Data Recovery Algorithm Based on Confidence Subset
Ding Simiao · 2022 IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers (IPEC) · 2022
This Aiming at the problem of text content data corruption in OOXML documents caused by noise errors during network transmission, this paper proposes a confidence-based document recovery algorithm. Firstly, the algorithm determines the size of the low confidence interval to be recovered by the signal noise ratio, and determines the error subset according to the confidence information provided by the physical layer. All possible combinations of the send sequence are obtained by iterating through the error pattern and extracting the character data through the inflate decompression. Finally, the least number of illegal characters is taken as the criterion to obtain the recovered document content. Simulation results show that the algorithm can effectively improve the data recovery rate of damaged documents by using the underlying confidence information.