用于扫读笔的离线识别方法及系统
By constructing a scanning pen recognition model using deep learning and neural network technologies, the problem of insufficient accuracy of existing scanning pens in recognizing complex paper was solved. It also enabled personalized customization and contextual understanding, expanded the applicability of languages and character sets, and provided more reliable recognition results.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- GUANGZHOU SIMWARE TELECOM CO LTD
- Filing Date
- 2023-08-10
- Publication Date
- 2026-07-17
AI Technical Summary
Existing scanning pens lack sufficient accuracy when dealing with complex paper such as distorted, blurred, and shadowed surfaces. They also lack personalization and contextual understanding, resulting in unreliable recognition results and limited applicability to languages and character sets.
The recognition model is built using deep learning and neural network technologies. Through image processing enhancement and data preprocessing, diverse text samples are collected, and customized training tools for the model are provided. Contextual information is extracted and analyzed to optimize the recognition model to adapt to complex layouts and deformed text.
It improves the recognition accuracy of scanning pens on complex paper, meets the needs of personalized users, enhances the understanding of contextual information, expands the scope of applicable languages and character sets, and provides reliable recognition results.
Smart Images
Figure CN117152768B_ABST