Robust gender classification using a precise patch histogram

► This paper presents a precise patch histogram (PPH) to improve the performance. ► A patch-based feature acquisition with AAM algorithm is proposed. ► The system includes a library selection using eigenface and k-means clustering. ► The accuracy of the global facial features was evidently improved by using the PPH. ► A portion-oriented posteriori fine-tuning was used to improve the classification.