Research and Realization of Adaptive Clustering Image Recognition Technology Based on Cloud Architectures

Huang Xuepei, Zhang Yan, Xiang Ju, Zhang Jiafeng, Tang Lanqin

Computer & Telecommunication ›› 2016, Vol. 1 ›› Issue (5) : 30-32.

Computer & Telecommunication ›› 2016, Vol. 1 ›› Issue (5) : 30-32.

Research and Realization of Adaptive Clustering Image Recognition Technology Based on Cloud Architectures

  • Huang Xuepei1,Zhang Yan2,Xiang Ju3,Zhang Jiafeng2,Tang Lanqin2
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Abstract

This paper provides high- precision image recognition service for mobile platforms. It analyzes and researches on SIFT and BRISK algorithm, and proposes a novel, efficient, lightweight adaptive clustering algorithm for image recognition which is suitable for Android. It designs a high-precision image recognition system based on the Android platform, using a variety of resources of Android to develop image recognition software. The results show that the system hardware is simple, low-priced, reliable, easy to be used and extended.

Key words

Android / SIFT algorithm / big data / image recognition

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Huang Xuepei, Zhang Yan, Xiang Ju, Zhang Jiafeng, Tang Lanqin. Research and Realization of Adaptive Clustering Image Recognition Technology Based on Cloud Architectures[J]. Computer & Telecommunication. 2016, 1(5): 30-32

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