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

Claim 15:
16. A method of color identification comprising:
receiving, by one or more training processors, an input data set of color values corresponding a plurality of single set RGB values, where each of the single set RGB values is obtained from a pre-defined region of a plurality of images, where the single set RGB values for each of the plurality of images was calculated by averaging the values within the pre-determined region of the plurality of images captured of a training set of colors by an image capture device;
receiving, by the one or more training processors, a target data set of color values obtained by measuring the training set of colors using a target color measurement device wherein the image capture device is different from the target color measurement device;
applying 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 one or more training processors, the output data set to the target data set;
adjusting, by the one or more training processors, 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
outputting, by one or more training processors, the artificial neural network to a data storage location once the minimum difference between the output data set and the target data set has been obtained.