Bill analysis method and system

By employing a multimodal intelligent traffic splitting and dual-link identification mechanism, the problem of low adaptability and low identification accuracy in cross-provincial invoice parsing has been solved, achieving efficient and accurate invoice data identification and processing, and supporting high concurrency of up to 100,000 invoices per day.

CN121121784APending Publication Date: 2025-12-12WUXI BAISHANG ZHONGWANG DATA TECHNOLOGY CO LTD
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Patent Information

Application Number
CN202511180745.5
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-08-22
Publication Date
2025-12-12

AI Technical Summary

Technical Problem

Existing technologies suffer from poor cross-provincial adaptability and low recognition accuracy, especially in recognizing stamped areas and blurred printed fields. Furthermore, the whole-image feeding large model scheme results in excessively long processing times for a single invoice.

Method used

Employing a multimodal intelligent routing mechanism, the system routes invoice data to the appropriate image processing or PDF processing channel by detecting the header feature code. Combining provincial templates and a confidence-driven dual-link recognition mechanism, it performs accurate cropping and seal detection. Finally, it verifies the data through a structured rule engine, achieving second-level cross-provincial template dynamic adaptation and efficient recognition.

Benefits of technology

It significantly improves the recognition accuracy and processing efficiency of invoice data, with a key field recognition accuracy of 99.9%, image parsing latency reduced by 8.3 times, PDF processing latency reduced by 6 times, and resource utilization efficiency increased by 83%.

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Abstract

The embodiment of the invention discloses a bill analysis method and system. The method comprises the following steps: receiving an external request; analyzing a head feature code of the bill data, if a JPEG or PNG file identifier is detected, routing the bill data to an image processing channel, calling an OCR engine to perform full-graph identification on the bill data, and based on a province template corresponding to the provincial administrative region code, extracting a preset field from the bill data as an analysis result; if the PDF identifier is identified, routing the bill data to a PDF processing channel, and executing text layer extraction and seal detection on the bill data in parallel to obtain an analysis result; and according to the province template, mapping an analysis result into a standard JSON structure, performing field integrity, logic rationality and cross-field relevance verification on the standard JSON structure, and outputting the standard JSON structure after the verification is passed. According to the embodiment of the invention, the recognition precision of the bill data can be remarkably improved, the processing efficiency of bill analysis is comprehensively optimized, and the resource utilization efficiency is improved.
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