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Author:

Sun, Xiaona (Sun, Xiaona.) | Gao, Guohua (Gao, Guohua.) (Scholars:高国华) | Tian, Boxing (Tian, Boxing.) | Li, Bowen (Li, Bowen.) | Zhang, Sai (Zhang, Sai.) | Huang, Juan (Huang, Juan.)

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CPCI-S EI Scopus

Abstract:

Aiming at the problems of large work intensity, low intelligence level and low efficiency, the production date intelligent recognition algorithm was designed. The algorithm optimizes the image preprocessing algorithm, combines the grid statistical method and the projection density method to extract the feature vector, and uses the support vector machine algorithm to identify the production date. The experimental results show that the algorithm can accurately identify the production date and achieve the expected recognition effect. Has practical significance.

Keyword:

Author Community:

  • [ 1 ] [Sun, Xiaona]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 2 ] [Gao, Guohua]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 3 ] [Tian, Boxing]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 4 ] [Li, Bowen]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 5 ] [Zhang, Sai]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China
  • [ 6 ] [Huang, Juan]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

Reprint Author's Address:

  • [Sun, Xiaona]Beijing Univ Technol, Coll Mech Engn & Appl Elect Technol, Beijing 100124, Peoples R China

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Source :

2019 3RD INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE, AUTOMATION AND CONTROL TECHNOLOGIES (AIACT 2019)

ISSN: 1742-6588

Year: 2019

Volume: 1267

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count: 3

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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