Gender Classification from Face Images Using LBG Vector Quantization with Data Mining algorithms

摘要

Face recognition is widely used in many applications and has been researched a lot since decades. Face recognition in combination with gender classification is the need for today's world. Gender classification has many specifications which have to be understood and calculated. This paper has proposed a system that can perform gender classification in most reliable, efficient and robust way. The technique is combination of image processing algorithm and data mining methodologies. The system applies the standard steps of image processing such as acquisition, pre-processing, feature extraction using LBG vector quantization method, the extracted features are passed to the data mining algorithms like Naive Bayes, SVM Poly Kernel, SVM RDF Kernel and KNN for classification. Classification results are obtained for above classification techniques and analysis is performed on these results.