In this paper, a new statistical-based algorithm, which applies the ideas of reduced binary pattern and multiple angle scheme, is proposed to extract image feature for identification or classification. The proposed statistical-based algorithm, multi-angle Reduced Binary Pattern (multi-angle RBP), is tested on the antinuclear antibody image database and sperm cell image database. The experimental results demonstrate that this algorithm is feasible for high accuracy, low complexity and fast processing for image classification in these two databases.