基于LVQ神经网络的条形码识别研究

Research on Barcode Recognition Based on LVQ Neural Network

条形码(barcode)识别是实现信息化管理的重要一环,在仓储、物流、超市收费、商品监督管理等方面有广泛的应用前景,但无法对其建立准确的数学模型。针对此问题,运用能够模拟人类思维的学习向量量化(Learning Vector Quantization,LVQ)神经网络对条形码进行识别,在Matlab平台中建立LVQ神经网络识别器。通过训练、测试,验证了LVQ神经网络识别器能够高效准确地识别条形码。

Barcode recognition is an important part of information management.It has a broad application prospect in warehousing,logistics,supermarket charging,commodity supervision and management,etc.It is impossible to establish an accurate mathematical model.To solve this problem,the LVQ neural network which can simulate human thinking was used to identify the barcode and the LVQ neural network recognizer was established on the platform of Matlab.Through training and testing,it is proved that the LVQ neural network recognizer can recognize bar code efficiently and accurately.