Recognition of Two-Dimensional Bar Code Based on Waveform Analysis

Traditionally the method of bar code recognition is based on edge detection But the performance of this method deteriorates in the case of high density bar code image which is severely blurred by a point spread function of optical system In order to deblur the image, a novel two dimensional bar code recognition algorithm based on waveform analysis is proposed in this paper First, the position of bar code is located and a single row codeword image is segmented from the whole bar code image After analyzing the waveform, the standard deviation of the point spread function is obtained The bar code waveform is reconstructed based on the point spread function Finally, in order to increase the noise tolerance of this recognition algorithm, peak detection is used to locate edge position The result shows that the performance of the algorithm based on waveform analysis is excellent It can achieve higher recognition rate of high density bar code, satisfying the requirement of practical use