Title:
OCR AND TRANSFER LEARNING-BASED APP VIOLATION MONITORING METHOD
Document Type and Number:
WIPO Patent Application WO/2022/041406
Kind Code:
A1
Abstract:
Disclosed in the present invention is an OCR and transfer learning-based app violation monitoring method. Said method comprises: periodically updating an APK, and performing data acquisition on a corresponding app according to the updated APK, the data acquisition comprising the capture of data packets and the acquisition of page screenshots; performing text recognition and extraction on the screenshots on the basis of an OCR algorithm; for the recognized text content, constructing a sample set by means of keywords and regular expressions, and performing manual annotation on same; inputting the manually annotated sample set into a pre-trained deep learning model for model adjustment, and implementing violation determination of text in different scenarios by means of division of service scenarios; and collecting statistics of scores of different apps according to the determination results outputted by the deep learning model, so as to obtain violation scores of the apps. By acquiring and analyzing data of apps, the present invention effectively and quickly detects the violation usage situations of the apps.
Inventors:
CAI SHUBIN (CN)
MING ZHONG (CN)
LIN XUHENG (CN)
WU DONGYANG (CN)
MING ZHONG (CN)
LIN XUHENG (CN)
WU DONGYANG (CN)
Application Number:
PCT/CN2020/120724
Publication Date:
March 03, 2022
Filing Date:
October 14, 2020
Export Citation:
Assignee:
UNIV SHENZHEN (CN)
International Classes:
G06K9/20
Foreign References:
| CN110210484A | 2019-09-06 | |||
| CN110210542A | 2019-09-06 | |||
| US20200005071A1 | 2020-01-02 |
Other References:
SHENG RUI: "Research on Intelligent Accumulator Based on Convolutional Neural Network", CHINA MASTER’S THESES FULL-TEXT DATABASE, 1 May 2019 (2019-05-01), pages 1 - 82, XP055902621, ISSN: 1674-0246, DOI: 10.27774/d.cnki.gzygx.2020.000014
Attorney, Agent or Firm:
JOHNSON INTELLECTUAL PROPERTY AGENCY (SHENZHEN) (CN)
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