Title: A study and analysis of digital image processing and recognition algorithms

Authors: Bin Ma; Shuhai Bian; Kuan Huang; Changtao Wang; Zhonghua Han; Song Lin

Addresses: Faculty of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China ' Faculty of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China ' Faculty of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China ' Faculty of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China ' Faculty of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China ' Faculty of Information & Control Engineering, Shenyang Jianzhu University, Shenyang 110168, China

Abstract: In this paper, we study and analyse the recognition methods for digital image. In the digital image preprocessing, the conservative smoothing, mean filtering, Gaussian sharpening and binarisation are used together so as to guarantee the effectiveness of the digital feature extraction. We propose an edge-tracking method, a distance feature information method and a feature information extraction method for recognising digital images. And, those three methods are evaluated and compared by experimental tests.

Keywords: image recognition; digital images; image processing; recognition rate; conservative smoothing; mean filtering; Gaussian sharpening; binarisation; feature extraction; edge tracking; distance feature information.

DOI: 10.1504/IJCAT.2014.059094

International Journal of Computer Applications in Technology, 2014 Vol.49 No.1, pp.42 - 49

Received: 08 May 2021
Accepted: 12 May 2021

Published online: 03 Feb 2014 *

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