Method and device for sensitive data masking based on image recognition

A computing device, comprising:

• one or more processors;
• and
• a memory storing instructions executable by the one or more processors to causes the computing device to perform operations comprising:
• extracting initial image features of a to-be-processed image in multiple dimensions of features by extracting feature vectors corresponding to the initial image features of the to-be-processed image in the multiple dimensions of features, wherein a numerical value of vector dimensions of the feature vectors is equal to a numerical value of the multiple dimensions of features;
• reducing dimensions for the initial image features in the multiple dimensions of features to obtain image features of the to-be-processed image in at least one dimension of sensitive data masking by performing a dimension-reduction calculation to obtain the feature vectors of the to-be-processed image in the at least one dimension of sensitive data masking;
• identifying sensitive features of the to-be-processed image based on the image features in the at least one dimension of sensitive data masking;
• and
• masking the sensitive features of the to-be-processed image.

A non-transitory computer-readable storage medium configured with instructions executable by one or more processors to cause the one or more processors to perform operations comprising:

• extracting initial image features of a to-be-processed image in multiple dimensions of features by extracting feature vectors corresponding to the initial image features of the to-be-processed image in the multiple dimensions of features, wherein a numerical value of vector dimensions of the feature vectors is equal to a numerical value of the multiple dimensions of features;
• reducing dimensions for the initial image features in the multiple dimensions of features to obtain image features of the to-be-processed image in at least one dimension of sensitive data masking by performing a dimension-reduction calculation to obtain the feature vectors of the to-be-processed image in the at least one dimension of sensitive data masking;
• identifying sensitive features of the to-be-processed image based on the image features in the at least one dimension of sensitive data masking;
• and
• masking for the sensitive features of the to-be-processed image.

A non-transitory computer-readable storage medium configured with instructions executable by one or more processors to cause the one or more processors to perform operations comprising:

• extracting initial image features of a to-be-processed image in multiple dimensions of features, wherein the multiple dimensions of features include a dimension of image feature position;
• preprocessing the to-be-processed image based on the initial image features in the multiple dimensions of features by:
• determining, according to the initial image features in the dimension of image feature position, position information of the image features of the to-be-processed image;
• and
• cropping the to-be-processed image based on the position information of the image features of the to-be-processed image;
• reducing dimensions for the initial image features in the multiple dimensions of features to obtain image features of the to-be-processed image in at least one dimension of sensitive data masking;
• identifying sensitive features of the to-be-processed image based on the image features in the at least one dimension of sensitive data masking;
• and
• masking the sensitive features of the to-be-processed image.

A non-transitory computer-readable storage medium configured with instructions executable by one or more processors to cause the one or more processors to perform operations comprising:

• extracting initial image features of a to-be-processed image in multiple dimensions of features;
• reducing dimensions for the initial image features in the multiple dimensions of features to obtain image features of the to-be-processed image in at least one dimension of sensitive data masking by:
• obtaining, by training, a dimension-reduction model of image features, and
• inputting, into the trained dimension-reduction model of image features, the initial image features of the to-be-processed image in the multiple dimensions of the features to perform features dimension reduction, and to output the image features of the to-be-processed image in the at least one dimension of sensitive data masking;
• identifying sensitive features of the to-be-processed image based on the image features in the at least one dimension of sensitive data masking;
• and
• masking the sensitive features of the to-be-processed image, wherein the obtaining, by training, a dimension-reduction model of image features comprises:
• acquiring an initial image set including initial images on which sensitive data is masked,
• extracting, from the initial image set, initial image features of the initial images of the initial image set in the multiple dimensions of features,
• reducing dimensions for the initial image features in the multiple dimensions of features, to obtain real image features of the initial images in the at least one dimension of sensitive data masking, and
• training, with first training samples including the initial image features in the multiple dimensions of the features and the real image features in the at least one dimension of sensitive data masking, a pre-built dimension-reduction model of the initial image features to obtain the dimension-reduction model of the image features.