Print Sorting Recognition System Based on Shallow Features
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    Abstract:

    Aiming at the problem of the recognition of print content in the printing field, a visual identity system based on shallow features is designed. Shallow feature is applicable to the recognition of specific target. SIFT is a widely used and effective shallow feature. The system first establishes a sample image database, uses SIFT algorithm to extract features, finally identifies by matching with sample features. In addition, the system implements online learning functions. After experimental verification, the system can realize the identification of print content in real time and accurately.

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谢成亮,王鸿亮,何薇薇,赵杰,王帅.基于浅层特征的印刷品分拣识别系统.计算机系统应用,2019,28(2):62-67

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History
  • Received:August 26,2018
  • Revised:September 20,2018
  • Adopted:
  • Online: January 28,2019
  • Published: February 15,2019
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