Table correction method and device based on spatial position relationship and multi-modal verification

CN121963236BActive Publication Date: 2026-10-16BEIJING EASY TIMES DIGITAL TECH
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Patent Information

Application Number
CN202610426291.3
Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
Filing Date
2026-04-02
Publication Date
2026-10-16
Estimated Expiration
2046-04-02

AI Technical Summary

Technical Problem

[0002]当前基于光学字符识别或视觉语言模型的表格识别系统在输出结构化数据时,普遍存在字段名与对应字段值之间关系错位的问题,严重影响数据的直接可用性

Benefits of technology

[0017]This specification provides a table correction method and apparatus based on spatial location relationships and multimodal verification. The method fundamentally changes the traditional paradigm that relies on fixed rules or pure text matching by constructing an intelligent correction process that is primarily driven by spatial location relationships and integrates multimodal verification. By automatically extracting reference points and analyzing the spatial topological relationships between fields, this method achieves a generalized understanding and adaptive matching of various table structures, significantly improving the accuracy and robustness of field misalignment correction. The introduced multi-dimensional confidence assessment system and hierarchical decision-making mechanism ensure that each correction operation has a reliable basis, achieving safe and controllable automated processing and effectively eliminating the risk of "more correction, more errors." Finally, this method integrates data integrity restoration while completing error correction, outputting high-quality structured data, greatly improving the end-to-end automation level and result reliability of the table recognition post-processing stage.

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Abstract

The embodiment of the specification provides a table correction method and device based on spatial position relationship and multi-modal verification, wherein the method fundamentally changes the traditional paradigm of relying on fixed rules or pure text matching by constructing an intelligent correction process dominated by spatial position relationship and integrating multi-modal verification. The method realizes the universal understanding and adaptive matching of various table structures by automatically extracting reference objects and analyzing the spatial topological relationship between fields, significantly improving the accuracy and robustness of field misplacement correction. The introduced multi-dimensional confidence evaluation system and hierarchical decision mechanism ensure that each correction operation has reliable basis, realizes the safety and controllability of automatic processing, and effectively eliminates the risk of "more mistakes after correction". Finally, the method integrates data integrity repair while completing error correction, outputs high-quality structured data, and greatly improves the end-to-end automation level and result reliability of the table recognition post-processing link.
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