Deconvolution of Bilevel Waveform Based on Iterative Computations
基于迭代计算的二值波形反卷积

Traditionally, the method of bar code recognition is based on zero crossing of the second derivative. 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, deconvolution and waveform recovery are necessary. Deconvolution is an ill-posed problem. Bar code is a kind of bilevel waveform. On this condition, a novel deconvolution algorithm based on iterative computations is proposed. First, the location and segment technology of bar code is discussed and a single row codeword image is obtained. After analysing the waveform, the system identification is accomplished and the standard deviation of the point spread function is obtained. At last, the bar code waveform is reconstructed based on iterative computations. The experimental results show that the performance of the algorithm proposed in this paper is excellent. It can achieve higher recognition rate of bar code, which suffices to the requirement of the practical use.