Fingerprint classification combined with gabor filter and convolutional neural network

HIGHLIGHTS

  • who: Zhengfang He et al. from the College of Information and Computing, University of Southeastern Philippines, Davao City, Davao del Sur, Philippines School of Intelligent Science and Engineering, Yunnan Technology and Business University, Kunming, China have published the research work: Fingerprint classification combined with Gabor filter and convolutional neural network, in the Journal: (JOURNAL) of 25/05/2022
  • what: Experimental results show that the model proposed in this paper has achieved 91.4% accuracy. Compared with other algorithms this model has higher accuracy than others. This contains a layer that performs a dot product of . . .

     

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