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Progress and Survey of Mobile Image Feature Recognition

[ Vol. 10 , Issue. 1 ]

Author(s):

Yongfeng Cui and Yuankun Ma   Pages 6 - 15 ( 10 )

Abstract:


Background: In the field of pattern recognition, there is a big problem for mobile image feature recognition technology. To solve these problems is one of the hot spots in the present study.

Method: This paper analyzes the current developments and recent patents in the mobile image feature recognition. A variety of different methods and patents based on color recognition, texture recognition and shape feature recognition are introduced. Various identification methods’ principle and advantages and disadvantages are made, detailed explanation, and the comparison results of various implement methods are given.

Result: Improved algorithm can improve the Identification number, recognition speed and recognition accuracy.

Conclusion: Improved algorithm can provide theoretical reference to further solve the characteristic and difficulties in the mobile image feature recognition.

Keywords:

Mobile image, feature recognition, color recognition, texture recognition, shape feature recognition.

Affiliation:

College of Computer Science and Technology, Zhoukou Normal University, Zhoukou, College of Mathematics and Statistics, Zhoukou Normal University, Zhoukou



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