International Journal of Information Technology and Computer Science(IJITCS)
ISSN: 2074-9007 (Print), ISSN: 2074-9015 (Online)
Published By: MECS Press
IJITCS Vol.7, No.6, May. 2015
Novel Approach for Child and Adulthood Classification Based on Significant Prominent Binary Patterns of Local Maximum Edge (SPBPLME)
Full Text (PDF, 504KB), PP.30-37
This paper derives a new procedure for age classification of facial image based on the local region of facial image. The local region of facial image is extracted from a Significant Binary Pattern of Local Maximum Edge (SBPLME). The SBPLME is generated by calculating the absolute value of local difference between the average of local 3×3 sub window pixel values and its neighbors instead of the center pixel value. In the case of Local Maximum Edge Binary Pattern (LMEBP) calculating the absolute value of local difference between the center pixel value of local 3×3 sub window and its neighbors. The proposed SBPLME can generate 512 (0 to 511) different patterns. The present paper utilized Prominent LBP (PLBP) on the proposed SBPLME. The PLBP contains the significant patterns of Uniform LBP (ULBP) and Non Uniform LBP (NULBP). Thus the derived Significant PLBP of Local Maximum Edge (SPBPLME) becomes an efficient image classification and analysis, which will have a significant role in many areas. The novelty of the proposed SPBPLME method is, it has shown excellent age classification results by reducing the overall dimension, thus reducing the overall complexity.
Cite This Paper
Rajendra Babu .Ch, Sreenivasa Reddy. E, Prabhakara Rao. B,"Novel Approach for Child and Adulthood Classification Based on Significant Prominent Binary Patterns of Local Maximum Edge (SPBPLME)", International Journal of Information Technology and Computer Science(IJITCS), vol.7, no.6, pp.30-37, 2015. DOI: 10.5815/ijitcs.2015.06.04
T Ojala, M PietikaÈinen, and D Harwood published a paper entitled “A Comparative Study of Texture Measures with Classification Based on Feature Distributions” in the Journal of Pattern Recognition, Year: 1996 volume: no : 29 Pages 51 to 59.
M Chandra Mohan, V Vijaya Kumar and B Sujatha published a paper entitled "Classification of child and adult based on geometric features of face using linear wavelets," in the Journal of Signal and Image Processing, volume no: 1 and issue no:3, yeAr : 2010 Pages:211 to 220.
" Texton Based Shape Features on Local Binary Pattern for Age Classification", Chandra Sekhar Reddy et al.; ,IJIGSP 2012, 7, 54-60
"Novel method of adult age classification using linear wavelet transforms", Chandra Mohan, VijayaKumar V., Venkata Krishna V., IJCSNS, pp:1-8, 2010.
"Texture Classification by Multi-Predicate Local Binary Pattern Operators”, Maeenpaeae T., PietikaÈinen M., and Ojala T., Proc. 15th Int'l Conf. Pattern Recognition, vol.3, pp.951-954, 2000.
“Robust texture classification by subsets of local binary patterns”, MaeenpaeaeT., Ojala T., PietikaÈinen M., and Soriano M., Proc. 15th Int'l Conf. Pattern Recognition, vol.3, pp. 947-950, 2000.
“Enhanced local texture feature sets for face recognition under difficult lighting conditions” by Tan X, Triggs B, IEEE Transactions on Image Processing 19 (6) (2010) 1635–1650
“Local maximum edge binary patterns: A new descriptor for image retrieval and object tracking” by Subrahmanyam M, Maheshwari R P, Balasubramanian R , International Journal of Signal Processing 92 (2012) pages: 1467–1479
“Morphological Primitive Patterns with Grain Components on LDP for Child and Adult Age Classification” by Sujatha B, Vijaya Kumar Vijaya Kumar, Rama Bai M, International Journal of Computer Applications (0975 – 8887) Volume 21– No.3, May 2011
"Classification of child and adult based on geometric features of face using linear wavelets", Chandra Mohan M., Vijaya Kumar V., Sujatha B., IJSIP, vol.1, Iss.3, pp:211-220, 2010.
Jangala. Sasi Kiran, V. Vijaya Kumar and B. Eswara Reddy. “Age classifications based on second order image compressed and fuzzy reduced grey level (SICFRG) model,” International Journal on Computer Science and Engineering (IJCSE), Vol. 5 No. 06, pp.481 –492, Jun 2013.
Sasi Kiran, Dr. V. Vijaya Kumar and V V Harichandana, “An Effective Age Classification Using Topological Features Based on Compressed and Reduced Grey Level Model of the Facial Skin,” I.J. Image, Graphics and Signal Processing, Vol. 6, No. 1 , pp. 9-17, November 2013.
Gorti Satyanarayana Murty, J Sasi Kiran and Dr. V. Vijaya Kumar, “ Facial Expression Recognition based on Features Derived from the Distinct LBP and GLCM,” International Journ al of Image, Graphics and Signal Processing(IJIGSP), MECS Publisher, Hong Kong, Vol. 6, No. 2, pp. 68 - 77, January 2014.
Gorti Satyanarayana Murty, Dr. V. Vijaya Kumar and A. Obulesu, “Age classification based on simple LBP transitions,” International Journal on Computer Science and Engineering (IJCSE), Vol. 5 No. 10, pp. 885 - 893, October 2013
P S S V ravi Kumar, P Kiran Kumar Reddy, and V Vijaya Kumar, “Age Classification Based On Features Extracted From Third Order Neighborhood Local Binary Pattern”, ictact journal on image and video processing, november 2014, volume: 05, issue: 02.