Bar code decoding chip of Data Matrix codes and decoding method thereof

Abstract

The invention provides a bar code decoding chip of Data Matrix codes. A decoding method of the decoding chip comprises the following steps of: searching a position detection graph in a bar code image by a characteristic searching unit to determine pixel coordinates of the position detection graph; acquiring bar code parameters by a bar code parameter acquisition unit according to the pixel coordinates of the position detection graph to determine a bar code area and a bar code direction; searching a correction graph on the bar code image by a correction characteristic acquisition unit to acquire the pixel coordinates of the correction graph; calculating a gray value corresponding to a Data Matrix code module by a module information processing unit according to the pixel coordinates of the correction graph; carrying out binaryzation processing on the Data Matrix code module by a binaryzation unit; extracting code words by a code word extraction unit according to the Data Matrix code module subjected to the binaryzation processing; and carrying out error correcting and decoding processing on the code words by an error correcting and decoding unit according to an error correcting grade. The invention also provides the decoding method of the Data Matrix codes. The bar code decoding chip of the Data Matrix codes and the Data Matrix code decoding method can guarantee the decoding process of the Data Matrix codes to be quickly and smoothly carried out.

Description

【Technical field】 [0001] The invention relates to the technical field of barcode identification, in particular to a Data Matrix code barcode decoding chip and a decoding method thereof. 【Background technique】 [0002] Bar code technology is an emerging technology developed on the basis of computer technology and information technology that integrates coding, printing, identification, data collection and processing. Barcode technology is widely used in business, library management, warehousing, post and telecommunications, transportation and industrial control due to its advantages of fast, accurate, reliable and low cost, and is bound to play an important role in the emerging "Internet of Things" applications. role. [0003] Currently widely used barcodes include one-dimensional barcodes and two-dimensional barcodes. A one-dimensional barcode, also known as a linear barcode, is composed of multiple "bar" and "space" units arranged in parallel, and the barcode information i...

AI Technical Summary

Problems solved by technology

One-dimensional barcodes only express information in one direction (generally the horizontal direction), but do not express any information in the vertical direction, so the information capacity and space utilization rate are low, and the barcode cannot be recognized after it is defaced

[0004]The two-dimensional barcode is composed of black and white specific geometric figures distributed in the two-dimensional direction according to certain rules, which can express information in the two-dimensional direction, so the information The capacity and space utilization are low, and it has a certain verification function

The problem of this system is: one, processing speed is slow, and this system needs to write a series of programs that realize decoding algorithm in the microprocessor, and single processor can only carry out decoding processing at the same time for a specific type of barcode format, and processor Only one operation can be processed in one clock cycle, and the software processing also determines the single-flow characteristic of the decoding process. It is difficult to realize the pipeline operation and parallel processing of the barcode image, and the processing speed is relatively slow; 2. The cost of use is high, because the decoding algorithm is relatively Complex, so it is necessary to use a high-end processor (such as a 32-bit processor) to implement the above algorithm, which requires the cooperation of a processor and a hardware acceleration circuit, which will cause high system costs; 3. The system is complex, difficult to integrate, and high in power consumption. Not easy for portable applications

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