Geometric Cognition Method of Biomimetic Pattern Recognition and Its Application in the Digitalization of Modern Guangdong Customs Archives

Abstract

This paper puts forward a digitalization model of Modern Guangdong Customs archives based on biomimetic pattern recognition. By introducing biomimetic pattern recognition, the digitalization of Modern Guangdong Customs archives becomes a social production of information network. With this model, we can not only make full use of the wisdom of biomimetic pattern recognition, but also digitalize the Modern Guangdong Customs archives with high efficiency and low cost, thus fully exploring the internal value of these archives. In this paper, firstly, we propose Neuron Model of Digital Biomimetics, and investigate Geometric Sequential Learning Ahead Mask in digitalizing Modern Guangdong Customs archives. Then, we analyze the application of digital biomimetics to the digitalization of Modern Guangdong Customs archives. Finally, we analyze the of comparison of the work cost among Taobao, Professional Institutions, Crowdsourcing and Digital Biomimetics, which proves that the geometric neuron model is reasonable and effective.

Keywords

• Biomimetic pattern recognition
• digitalization
• geometric sequential learning ahead mask
• modern Guangdong customs archives