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Erschienen in:
2010 | OriginalPaper | Buchkapitel
Drop Fingerprint Recognition Based on Self-Organizing Feature Map
verfasst von : Jie Li, Qing Song, Yuan Luo, Cunwei Zou
Erschienen in: Artificial Intelligence and Computational Intelligence
Verlag: Springer Berlin Heidelberg
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Drop analysis technology developed rapidly, the recognition of drop fingerprint become more and more important. It discussed about drop analysis technology and the methods to recognize liquid drop fingerprint. With the self-learning, self-organizing and out-supervision, self-organizing feature map network is suitable to use in drop fingerprint recognition. By MATLAB simulation, a SOM neural network which has been trained is established. Two groups of samples are identified. The identification ratio of one group is 97.5 percent, and the other group is 95 percent. The recognition performance achieved the goal as expected.