The identification of the liquid drop fingerprint combining support vector machine with clustering method

The fiber-capacitive drop analyzing technology has been developing rapidly in recent years. Its core is the drop fingerprint. The liquid drop fingerprints are curve images obtained after filtering and normalizing, representing liquid characteristics by collecting the optical fiber capacitance data in the process of droplet formation by the fiber-capacitive drop analyzing technology. By identifying the liquid drop fingerprint, the type of liquid can be identified and the characteristic of liquid can be analyzed [1].