Method of improving the barcode recognition efficiency using continuous sampling, computer readable medium, and barcode recognition apparatus

A computer readable medium, storing a barcode recognition program for a barcode recognition apparatus to read and then executing following steps:

• (a) determining a weight value obtained when comparison between each of a plurality of barcode types and a barcode pattern matches and a total weight threshold;
• (b) sampling the barcode pattern multiple times to obtain a plurality of image samples, and executing following steps on each image sample:
• (b1) determining the barcode type of each image sample;
• and
• (b2) according to the matched barcode type of each image sample, assigning a weight value to the barcode type and accumulating the weight value to acquire a total weight value of the barcode type;
• (c) determining the barcode type with the total weight value reaching the total weight threshold as the barcode type of the barcode pattern and outputting a recognition result of the barcode pattern, according to the barcode type.

A barcode recognition apparatus, for sampling a barcode image multiple times and recognizing one of a plurality of barcode types of a barcode pattern and corresponding barcode information, and the barcode recognition apparatus comprising:

• an image capture module, for continuously capturing images of the barcode pattern as a plurality of image samples;
• a data storage device, for caching the image samples, and storing at least a barcode recognition program, a weight value obtained when comparison between each barcode type and the barcode pattern matches, and a total weight threshold;
• and
• a control module, loading and executing the barcode recognition program from the data storage device to control the image capture module to start capturing the image samples and transmit the captured images to the control module;
• wherein the barcode recognition apparatus is arranged such that the control module obtains a plurality of image samples from the image capture module to determine the barcode type of each image sample;
• provides a weight value to the barcode type and accumulates the weight value to acquire a total weight value of the barcode type according to the matched barcode type of each image sample;
• and determines the barcode type with the total weight value reaching the total weight threshold as the barcode type of the barcode pattern and outputs a recognition result of the barcode pattern according to the barcode type.