Title:Progress and Survey of Mobile Image Feature Recognition
VOLUME: 10 ISSUE: 1
Author(s):Yongfeng Cui* and Yuankun Ma
Affiliation:College of Computer Science and Technology, Zhoukou Normal University, Zhoukou, College of Mathematics and Statistics, Zhoukou Normal University, Zhoukou
Keywords:Mobile image, feature recognition, color recognition, texture recognition, shape feature recognition.
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.
