中圖分類號： TP274
文獻標識碼： A
DOI： 10.19358/j.issn.2096-5133.2021.08.014
引用格式： 張辰，陳陽. 基于模板匹配OCR的報告自動歸檔系統(tǒng)研究[J].信息技術與網(wǎng)絡安全，2021，40(8)：84-89.

Research on automatic filing system of detection report based on template matching and OCR recognition

Abstract： In view of the problems of many detection reports and low efficiency of manual filing in the construction inspection industry, a strong robust OCR identification system for digital symbols of report files is established by using template matching algorithm and LeNet framework. Aiming at the problem that the location and size of ROI in the report are not fixed, a template matching location algorithm in the field of machine vision is used to locate the ROI region of the report file. Combined with the matching and positioning algorithm of LeNet network and template, the combination of traditional machine vision method and artificial intelligence method is realized, and a set of automatic filing system of detection report is constructed. The correct filing rate of the automatic archive system is 95.8%, which effectively saves labor cost and time cost.

Key words : template matching；OCR identification；automatic filing