Parasite is a bacterium that lives in a separate organism that functions as a host known as plasmodium. The parasite is vulnerable to malaria, dengue, typhoid diseases, etc. The presence of the parasite in blood smears can often lead to human death for some times. So, detecting and recognizing the parasite in blood splotch images at the early stages is very important to save human life. Aim and Objective: The primary consideration in this article is to detect the parasite which occurs in red blood cells through blood splotch images in early stages in less time using a new image processing method. Method: The method which is followed identifies the presence of parasite on blood smear images, was done in several steps. The first step of the method is to collect the input image from a laboratory taken through an electronic microscope. Then the image is further sent by converting the input image to the grayscale image using the standard method. Once the grayscale is obtained, the output image is further converted to the monochrome image. The pixel values of the image consist of only binary values using the __ampersandsignldquo;Otsu Threshold form.__ampersandsignrdquo; Then this monochrome image is converted to a matrix model and printed with the binary values. Conclusion: The presence of parasites on the images will be displayed with the binary values by either one or zero on the output matrix model. Suppose the entire image is displayed as all zeros, In that case, it can be concluded to no parasite presence, and if any one__ampersandsignrsquo;s presence on the matrix model, then it can be observed that there is a presence of parasite on the blood smear blotch images.