Abstract: This disclosure relates generally to a system and method for masking text within images. Conventionally, image masking approaches have enabled masking but masking PII data which contains sensitive data is still a challenge. The present disclosure includes training and masking phase, wherein during training phase the PII label and values of the input image are captured and stored as co-ordinates in the database. During masking, the test image and the words comprised in the test image are optimized using an OCR technique. The label and value of each pairs are compared with the words comprised in the optimized test image. The comparison results in one or more matching labels and then a masking area is calculated for each matching label. The masking string is generated for each matching label based on the calculated masking area and the original text is masked with the generated string.

Abstract: This disclosure relates generally to a system and method for masking text within images. Conventionally, image masking approaches have enabled masking but masking PI data which contains sensitive data is still a challenge. The present disclosure includes training and masking phase, wherein during training phase the PI label and values of the input image are captured and stored as co-ordinates in the database. During masking, the test image and the words comprised in the test image are optimized using an OCR technique. The label and value of each pairs are compared with the words comprised in the optimized test image. The comparison results in one or more matching labels and then a masking area is calculated for each matching label. The masking string is generated for each matching label based on the calculated masking area and the original text is masked with the generated string.