Analysis of Fingernail Images for Detection and Diagnosis of Diseases

Many disorders are detected at an early stage of diagnosis by analyzing the human hand nail. In the medical field, analysis of a person's hand nail color aids in the diagnosis of a specific condition. The technology will analyze a nail image and extract nail properties that are useful for diagnosing diseases. The human nail has a variety of characteristics. Nails are the body component farthest from the heart and receive the last oxygen. As a result, the nail is the first part of the human body to display illness symptoms. Fingernails can be quickly and easily photographed for diagnosis. Unlike other testing and scanning processes, nail images do not need to be taken under difficult conditions or with complicated equipment. Ayurveda typically uses nails as a physical investigation tool since they are a good predictor of potential bodily ailments. Based on their shape, texture, and color, human nails provide helpful information regarding complaints or any nutritional imbalances. Changes in nail color, texture, or shape are indicators of numerous disorders that primarily affect nails. And if we successfully detect these alterations in the human nail using digital image processing techniques, we can quickly predict many diseases and obtain more accurate findings. In this survey paper, a state-of-the-art review has been presented.