Patent ID: 11922662
Assignee: DATACOLOR INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 7:
8. The color identification system of claim 1, wherein the pre-trained neural network is trained by:
receiving, by a training processor, an input data set of color values extracted from a pre-defined portion of a plurality of images captured of a training set of colors by the image capture device image;
receiving, by the training processor, target data set of color values of obtained by measuring the training set of colors using a target color measurement device;
applying, by the training processor, the input data set to an untrained neural network to generate an initial output data set, wherein the neural network includes one or more variable parameters that alter the output values generated by the neural network;
comparing, by the training processor, the output data set to the target data set;
adjusting, by the training processor, the one or more variable parameters to minimize the difference between the target set and the output set when the input data set is applied to the artificial neural network; and
storing, by the training processor, the artificial neural network once the minimum difference between the output data set and the target data set has been obtained.