Cancers are a general term used to describe all diseases that cause uncontrolled and abnormal cell division. Oral cancer has been identified as one of the most common cancer kinds in the world. Oral cancer is caused by a number of modifiable risk factors, such as sugar consumption, cigarette use, alcohol use, poor hygiene, and their underlying societal and economic drivers. There are several non-communicable diseases (NCDs) that share similarities with these risk factors. The human papilloma virus, 16, or HPV 16, is a unique factor for producing mouth cancer that is unrelated to cigarette use. Oral squamous cell carcinoma (OSCC), often known as oral cancer, is an ulceroproliferative oral mucosa disease that can affect any area of the mouth, including the lips and tongue. Clinical paradigms, technological advancements, and variations in patient makeup present both opportunities and obstacles for the treatment of OSCC. Imaging will continue to play a bigger role in the staging, planning, and monitoring of patients with OSCC. Imaging techniques can now be used to non-invasively identify molecular and cellular changes in cells. Medical imaging applications employ pre-processing and segmentation techniques. Images of oral cancer (such as Histopathology images) must be preprocessed in order to raise their quality, make important features more visible, and make accurate analysis and diagnosis possible. After pre-processing, segmentation is essential for defining the limits of oral tumours or lesions within histopathology images. By taking into account image quality, this study seeks to increase the accuracy of oral cancer diagnosis. In order to enhance the picture quality and clarity for the task of feature extraction, it has concentrated on oral histopathology image pre-processing and segmentation procedures.