An Image Mining System for Gender Classification & Age Prediction Based on Facial Features
Dhanashree M. Shirkey1, S.R.Gupta2
1Ms. Dhanashree M. Shirkey, M.E(Scholar), Department of CSE, PRMITR, Badnera, India
2Prof.S.R.Gupta, Asstt.Professor, Department of CSE,PRMITR, Badnera, India.
Manuscript received on May 05, 2013. | Revised Manuscript received on May 11, 2013. | Manuscript published on May 15, 2013. | PP: 8-12 | Volume-1, Issue-6, May 2013. | Retrieval Number: F0274051613
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© The Authors. Published By: Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The face recognition system with large sets of training sets for personal identification normally attains good accuracy. In the project, we proposed algorithm for Feature Extraction based Face Recognition, Gender and Age Classification with only small training sets and it yields good results even with one image per person. This process involves three stages: Pre-processing, Feature Extraction and Classification. The geometric features of facial images like eyes, nose, mouth etc. are located by using Feature extraction algorithm and face recognition is performed. Based on the texture and shape information, gender and age classification is done by comparing histogram of the query image and the histogram of the images in dataset respectively. By using the proposed work , ratio of 100% for face matching, 90% for gender classification ,and 85% for age classification can be achieved .
Keywords: Face Detection, Skin Color Segmentation, Face Features extraction, Features recognization,Fuzzy rules,Histogram,Image mining.