Health of living being depends on diagnosis of diseases and symptoms. Diagnoses of medical images were done by the medical specialist, but availability of such practitioner is rare. So reports were sharing plays an important role. This paper work on the validation of medical images. To validate a medical image watermarking was done by embedding in DWT low frequency region. Coefficient from the Group Search optimization algorithm was used for the embedding of watermark. Suitable coefficient values were used for histogram shifting for embedding of secret data. This process help in improvement of the watermark embedding that can be minimizing the cover value losses. Experiment was done on real dataset of breast cancer. Result shows that proposed model has improved the SNR value of embedded image by 72.09% as compared to comparing models.