Barcode recognition method and device and electronic equipment

Abstract

The embodiment of the invention provides a bar code recognition method and device and electronic equipment, and relates to the technical field of character recognition. The method comprises the following steps: acquiring a to-be-identified target barcode; inputting the target bar code into a recognition model, and obtaining a target bar space width ratio sequence of the target bar code output by the recognition model, wherein the identification model is obtained by training based on a plurality of sample barcodes and a label of each sample barcode, and the label of each sample barcode comprises a sample bar space width ratio sequence of the sample barcode; determining a target code system category of the target bar code according to the starting value and the ending value in the target bar space width ratio sequence; decoding the target bar code by using the target bar space width ratio sequence, the target code system category and a preset code table to obtain an identification result of the target bar code, wherein the preset code table comprises a corresponding relation about code system categories, bar space combinations and characters. Compared with the prior art, by applying the scheme provided by the embodiment of the invention, the flexibility of barcode recognition can be improved.

Description

technical field [0001] The present invention relates to the technical field of character recognition, in particular to a barcode recognition method, device and electronic equipment. Background technique [0002] Bar code, also known as bar code (Barcode), is a graphic identifier used to express a set of information by arranging multiple black bars and blanks with different widths according to certain coding rules. Among them, barcodes can represent numbers, symbols, letters and other information, and are widely used in commodity circulation, book management, medical and other industries. [0003] With the gradual maturity and development of deep learning, the barcode recognition method based on deep learning is widely used when the barcode is identified and the information identified by the barcode is obtained. [0004] In the related art, the decoding can usually be implemented by using an RNN (Recurrent Neural Network, cyclic neural network) or a CNN (Convolutional Neural...

AI Technical Summary

Problems solved by technology

[0006] Based on this, when there is a barcode encoded by a new code system type, it is necessary to add the bar-space combination of the new code system type into the training samples to retrain the RNN or CNN. However, due to each A code system has a large number of bar-space combinations, so it will lead to a large workload and time-consuming retraining of RNN or CNN, which in turn will affect the flexibility of barcode recognition

Images