One-dimensional barcode decoding method based on bar vacancy unit amplification

Abstract

The invention provides a one-dimensional barcode decoding method based on bar vacancy unit amplification, which is characterized by comprising the steps of positioning the barcode center of a barcode image and determining an inclination angle of a barcode according to existing technologies, and determining a barcode center scanning line according to the inclination angle of the barcode and the barcode center; calculating bar vacancy unit boundary points on the barcode center scanning line, acquiring a width flow, decoding the width flow, and returning decoding information if the width flow is successfully decoded; if the width flow is decoded unsuccessfully and the barcode is horizontal or vertical, returning a decoding failure, if not, getting into a procedure of correcting and amplifying a bar vacancy unit of the barcode, and decoding a new width flow again. The one-dimensional barcode decoding method not only can meet decoding requirements of ordinary barcodes, but also can meet decoding requirements of inclined barcodes with certain decoding difficulty. Meanwhile, when the boundary points on the barcode scanning line are not accurately extracted, the one-dimensional barcode decoding method can achieve a certain correction effect, so that the decoding rate is improved.

Description

technical field [0001] The invention relates to a decoding method of a one-dimensional barcode. Background technique [0002] The one-dimensional barcode decoding method mainly locates the boundary of the scanning line according to the prior art, determines the bar space unit, extracts the width stream, and uses the width stream to decode. When the one-dimensional barcode has an inclination angle of 45° or 135°, especially when the space unit of the barcode is narrow, the decoding failure rate is high. [0003] Such as figure 1 As shown, it is a barcode image with an inclination angle of about 45°. It can be seen from the figure that this barcode is affected by the printing quality, the barcode clarity is not enough, and the image contrast is not strong, which will affect the determination of the boundary points. There may be some errors in the positioning of the location. combine figure 2 , when the barcode image has a certain inclination angle and the narrow unit in t...

AI Technical Summary

Problems solved by technology

Especially when determining the width of a narrow empty cell, the width determined by two adjacent scanning lines can still reach a gap of at most 1 pixel even if the boundary positioning algorithm does not have boundary extraction errors. The empty unit itself only occupies 1 to 2 pixels, and this gap is enough to cause decoding failure

Images