The liquid drop fingerprint (LDF) can be obtained from fiber-capacitive drop analysis. LDF is unique and specific for a certain liquids. LDF makes the time-based fiber drop trace independent from the speed of drop growth and the volatility of liquids. Identification and linear interpolation are used to normalize the fingerprint data, to make LDFs of different liquids comparable. A correlation comparison method is used to describe LDF quantitatively, by using the geometric correlation coefficient, the vector correlation coefficient, the scale correlation coefficient, and the distance correlation coefficient. The mathematical correlation functions are introduced in detail. Some experimental graphs and data results are presented.