Feature extraction and waveform analysis of the optoelectronic liquid drop fingerprint

Qing Song; Jing Liu; Di Wu; Jiayong Huang; Chunsong Zhang

doi:10.1117/12.833058

30 October 2009 Feature extraction and waveform analysis of the optoelectronic liquid drop fingerprint

Qing Song, Jing Liu, Di Wu, Jiayong Huang, Chunsong Zhang

Proceedings Volume 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis; 74952Q (2009) https://doi.org/10.1117/12.833058
Event: Sixth International Symposium on Multispectral Image Processing and Pattern Recognition, 2009, Yichang, China

Abstract

The optoelectronic liquid drop fingerprint (OLDF) can be constructed by merging the fiber signal and the capacitive signal, which shows a very fruitful source of information on the bulk properties of the tested liquids, and it is unique and definite for a certain liquid under certain conditions. Therefore OLDF is favorable for fine discrimination among different liquids. There are some visible differences for different liquids in the same experimental system, such as the output fiber voltage (or the light intensity), the output capacitor voltage (or the drop volume), the peak height and the profile of fingerprint, and the curve area surrounded by the fingerprint and the axis. So waveform analysis method and calculated parameters characterizing waveform are employed for feature extraction to identify different liquids. In this paper, the conception of waveform parameters and software algorithm are described in detail, and the resolution of the parameters is analyzed and compared base on experimental data of samples.

Citation Download Citation

Qing Song, Jing Liu, Di Wu, Jiayong Huang, and Chunsong Zhang "Feature extraction and waveform analysis of the optoelectronic liquid drop fingerprint", Proc. SPIE 7495, MIPPR 2009: Automatic Target Recognition and Image Analysis, 74952Q (30 October 2009); https://doi.org/10.1117/12.833058

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