• Ms. SHARMILA S
• 2 Dr. SOUNDER J
• Ms. QUEENKIRUBAANANTHY S

An effort has been done to structure the use of palmistry to locate the human disease from their palm. Palm searching is a hot topic in the restorative administration's system. Palm investigating is examined in the suggested technique from the angles of model assertion, heuristics, and learning. This method eliminates two types. Massive learning is one of the AI concepts with an uncommon certification criterion. Palmistry has traditionally employed the method of room science. It is the distortion of an individual's destiny based on their palm print. In this endeavor, the palm print uses to blemish the disease with the assistance of the Artificial Immune System (AIS) to reach the human lead. CLONALG is a count that is used to identify the blemish area. We can easily locate the disfigurement domain while separating the palm print. The palm print unmistakably relies on Convolutional Neural Networks (CNN) which detect the effective process of FS and VS has been the character perceiving confirmation.

CLONALG, CS – Clonal Selection, Feature Selection, Variable Selection, AIS – Artificial Immune System, CNN – Convolutional Neural Networks.

"THE PALMISTRY ALGORITHM IS USED IN IMAGE PROCESSING TO DISTINGUISH THE INFIRMITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.9, Issue 11, page no.c801-c806, November-2022, Available :http://www.jetir.org/papers/JETIR2211296.pdf

"THE PALMISTRY ALGORITHM IS USED IN IMAGE PROCESSING TO DISTINGUISH THE INFIRMITY", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.9, Issue 11, page no. ppc801-c806, November-2022, Available at : http://www.jetir.org/papers/JETIR2211296.pdf