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Normalization algorithm of the fiber drop fingerprint obtained from the optoelectronic drop analyzer

QING SONG1,* , GUOXIONG ZHANG2, ZURONG QIU2, JIAN XU3, ZHONGPING FANG3

Affiliation

  1. Automation School, Beijing University of Posts and Telecommunications, Beijing 100876, China
  2. State Key Laboratory of Precision Measuring Technology and Instruments, College of Precision Instrument and Opto-electronics Engineering, Tianjin University, Tianjin 300072, China
  3. Singapore Institute of Manufacturing and Technology, Singapore, 638075

Abstract

The fiber drop fingerprint (FDF) results from the light signal variation inside the liquid drop during drop formation and it can be used for liquid identification. Normalization is a necessary prior step before extracting features from FDF and constructing the liquid database. The processing method and algorithm for normalizing FDF is introduced in this paper. Start and end positions of each drop are determined through extremum method and threshold detection, based on excellent linearity of the capacitive signals. Normalized fiber and capacitive data in each normalized interval are obtained by using linear interpolation. Multiple drop signals corresponding to the same normalization position are averaged to get the final fingerprint. The mathematical deduction wil be discussed in detail. Some graphic experimental results are presented..

Keywords

Drop analysis, Optoelectronic, Fiber, Fingerprint, Normalization.

Submitted at: Oct. 17, 2005
Accepted at: Jan. 26, 2006

Citation

QING SONG, GUOXIONG ZHANG, ZURONG QIU, JIAN XU, ZHONGPING FANG, Normalization algorithm of the fiber drop fingerprint obtained from the optoelectronic drop analyzer, Journal of Optoelectronics and Advanced Materials Vol. 8, Iss. 1, pp. 376-382 (2006)