The classification of blood cells is of great importance for the diagnosis of hematological diseases such as leukemia. In order to get the most effective treatment, the patient needs an early diagnosis. Early diagnosis of leukemia is likely to be treated successfully. Therefore it is very vital to have a support system. In this paper literature survey of some recent papers on blood cell classification using image processing techniques and deep learning algorithms have been reviewed. Deep learning algorithms have been proved to solve many challenging problems in the field of image processing. When compared with traditional machine learning algorithms, deep learning algorithms play a major role in terms of accuracy. Deep learning algorithms have brought many benefits to the medical field where they work with large amount of data. This paper aims to analyze the existing image processing techniques for leukemic blood cell classification. Keywords: blood diseases, leukemia, deep learning algorithm.