Pattern recognition method and device

Pattern recognition method and device

  • CN 104,794,501 B
  • Filed: 05/14/2015
  • Issued: 01/05/2021
  • Est. Priority Date: 05/14/2015
  • Status: Active Grant
First Claim
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1. A pattern recognition method, comprising:

  • receiving data to be identified, wherein the data to be identified is a picture;

    performing pattern recognition on the data to be recognized by using a pattern recognition model obtained by training a convolutional neural network with a recursive convolutional layer;

    wherein, the convolutional neural network with the recursive convolutional layer is a neural network which combines recursive input in the convolutional layer on the basis of feedforward input to obtain total input and carries out nonlinear excitation on the total input,the feed forward input is specifically represented as;

    wherein u is(i,j)Representing the response of a local cell centered at (i, j) on the vectorized prior-layer feature map,representing weights of the vectorized feed-forward input;

    the recursive input in the convolution layer is specifically expressed as;

    wherein x is(i,j)(t-1) represents the response of the local cell centered at (i, j) on the current layer feature map at the previous time step,representing the weight of vectorized intra-layer recursive input, T representing transposition, T representing a time value, and T being less than or equal to N, wherein N represents the total time step number;

    the pattern recognition comprises any one of;

    face recognition, gesture recognition and traffic sign recognition.

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