International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 79 - Number 13 |
Year of Publication: 2013 |
Authors: V. Vijaya Kumar, Jangala Sasi Kiran, Gorti Satyanarayana Murty |
10.5120/13800-1787 |
V. Vijaya Kumar, Jangala Sasi Kiran, Gorti Satyanarayana Murty . Pattern based Dimensionality Reduction Model for Age Classification. International Journal of Computer Applications. 79, 13 ( October 2013), 14-20. DOI=10.5120/13800-1787
The two most popular statistical methods used to measure the textural information of images are the Grey Level Co-occurrence Matrix (GLCM) and Texture Units (TU) approaches. The novelty of the present paper is, it combines TU and GLCM features by deriving a new model called "Pattern based Second order Compressed Binary (PSCB) image" to classify human age in to four groups. The proposed PSCB model reduces the given 5 x 5 grey level image into a 2 x 2 binary image, while preserving the significant features of the texture. The proposed method intelligently compressed a 5x5 window into a 2x2 window and derived TU on them. Thus the derived TU also represents a TU of a 5x5 window. The TU of the proposed PSCB model ranges from 0 to 15, thus it overcomes the previous disadvantages in evaluating TU's.