Paper Currency Image Features Extraction and Recognition Based on Gabor Filter

Abstract:

The paper currency image recognition method based on Gabor filter set is discussed in this paper. According to the paper currency image features, the suitable parameters of Gabor filter set are selected for the extraction of paper currency characteristics, the multi-scale and multi-directional texture characteristics of paper currency image are gotten; then the texture images are meshed, and the row and column projection sum of grid pixels' average grey are calculated, finally, the template match method based on grid projection characteristics is used for paper currency recognition. Experiments show that, this method has strong anti-interference ability, it can raise the recognition rate of old or dirty paper currency greatly, and it costs little time.

• Periodical: Applied Mechanics and Materials (Volumes 635-637)
• Pages: 1030-1034
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.635-637.1030
• Online since: September 2014
• Authors: Xi Wen Liu*, Chao Ying Liu
• Keywords: Gabor Filter, Paper Currency Image, Projection Characteristics, Template Match

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