The Leukocytes which play a major role in the diagnosis of different diseases. Leukemia is a type of blood disease or so-called cancer of the blood that begins in the bone marrow; and usually caused by an excessive alteration in the production of malignant and immature white blood cells. Acute Myeloid leukemia (AML) is a subtype of acute leukemia, which is characterized by the accumulation of myeloid blasts in the bone marrow. Initial AML screening and considered as the first step toward diagnosis. AML and its prevalent subtypes, i.e., M0–M3. The proposed system takes as input, Color images of stained peripheral blood smears and identifies the class of each of the White Blood Cells (WBC). The segmentation process provides enhanced image for each blood cell containing the cytoplasm and the nuclei regions of the cell using Hybrid Color and Cluster base method. The process of feature extraction using texture feature. At the end system machine learning classification techniques use to differentiate the Acute Myeloid leukemia (AML) types from M0-M3.