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在科学技术发展和更新速度不断加快的今天,掌纹图像识别这种新型科技在我国的发展也愈发全面。同生物的其他特征相比,掌纹特征中含有的信息量更大,信息的稳定性也更高。因为识别掌纹的设备价格较低,所以,采用此种识别方式的成本投入性价比更高,这也是掌纹识别被广泛应用到各行业领域的重要原因。对此,本文以掌纹图像识别为出发点,对BP神经网络的实际运用展开分析研究。
With the development of science and technology and the ever-accelerating pace of updating, the development of new technologies like palm-print image recognition in our country has become more and more comprehensive. Palmprint features more information and stability than other features of the organism. Because the equipment that identifies palmprint is relatively low in price, the cost of adopting this kind of recognition method is more cost-effective, which is also an important reason that palmprint recognition is widely applied to various industries. In this regard, this paper takes palmprint image recognition as the starting point, and analyzes the practical application of BP neural network.