Human Facial Image Age Group Classification
Based On Third Order Four Pixel Pattern (TOFP)
of Wavelet Image
Rajendra Chikkala1, Sreenivasa Edara2,
and Prabhakara Bhima3
1Department of Computer
Science and Engineering, Research Scholar, India
2Department
of Computer Science and Engineering, Dean Acharya Nagarjuna University College
of Engineering and Technology, India
3Department
of Electronics and Communication Engineering, Jawaharlal Nehru Technological University Kakinada, India
Abstract: The present paper proposes a
novel scheme for age group classification based on Third Order Four pixel
Pattern (TOFP). This paper identified TOFP patterns in two forms of diamond
pattern which have four pixels i.e., outer diamond and inner diamond patterns
in Third Order neighborhood. The paper derives Grey-Level Co-occurrence Matrix
(GLCM) of a Wavelet image based on the values of Outer Diamond Corner Pixels
(ODCP) of TOFP and Inner Diamond Corner Pixels (IDCP) of TOFP on wavelet image
which is generated from the original image without using the standard method
for generating the co-occurrence matrix. Four GLCM features are extracted from
the generated matrix. Based on these feature values, the age group of the human
facial image was categorized. In this paper, human age is classified into six
age groups such as Child: 0-9 years, Adolescent: 10-19 years, Young Adult: 20-35
years, Middle-Aged Adults: 36 -45 years, Senior Adults 46–60 years, Senior
Citizen: age > 60. The proposed method is tested on different databases and
comparative results are given.
Keywords: GLCM, pixel pattern, age group
classification, four pixel pattern, outer diamond, inner diamond.