采用VFP 数据库管理系统建立了首个“中药叶形态-脉序图谱（LMVP）鉴别法数据库系统”，存储46 种易混淆中药的LMVP 鉴别标准（特征）及其10 种基本信息，以及117 个科共358 种中药及植物的相关参考文献，可供鉴别中药、方法学研究时查询相关鉴别标准（特征）、文献，并对数据进行统计分析。它是实施、推广、改进LMVP 鉴别法，进一步对LMVP 数据挖掘的技术平台。该数据库具有结构简单，功能较多、使用、管理维护便捷、适用于教学等特点。

VFP Database Management System was applied in the establishment of the first "Chinese Medicine Leaf Morphological -venation Pattern (LMVP) Identification Database Management". It stores 46 species of Chinese medicine confusing LMVP identification criteria (characteristics) and its 10 kinds of basic information, as well as 117 families with a total of 358 species of traditional Chinese medicine (TCM) and plant references document when studying in the TCM identification and methodology. It can provide query identification criteria (features), literature, and data for statistical analysis. It is the technology platform for the implementation, promotion and improvement of LMVP identification method, and further development on LMVP data mining. This database has a simple structure,multiple functions and applications, convenient management and maintenance, which are suitable for teaching.

国家自然科学基金委地区科学基金项目（30860371）：叶形态-脉序图谱鉴定中药的方法研究及其支持平台的建立，负责人：何报作；广西中医药大学自然科学研究资助课题（ZC2012001）：中药叶形态-脉序图谱鉴别系统的容量扩充及网络化研究，负责人：何报作。