Progress and Survey of Mobile Image Feature Recognition

Author(s): Yongfeng Cui*, Yuankun Ma

Journal Name: Recent Patents on Computer Science
Continued as Recent Advances in Computer Science and Communications

Volume 10 , Issue 1 , 2017


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.

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Article Details

Year: 2017
Published on: 07 August, 2017
Page: [6 - 15]
Pages: 10
DOI: 10.2174/2213275909666160530105019
Price: $58

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