AGE CLASSIFICATIONS BASED ON SECOND ORDER IMAGE COMPRESSED AND FUZZY REDUCED GREY LEVEL (SICFRG) MODEL
Journal Title: International Journal on Computer Science and Engineering - Year 2013, Vol 5, Issue 6
Abstract
One of the most fundamental issues in image classification and recognition are how to characterize images using derived features. Many texture classification and recognition problems in the literature usually require the computation on entire image set and with large range of gray level values in order to achieve efficient and precise classification and recognition. This leads to lot of complexity in evaluating feature parameters. To address this, the present paper derives a Second Order image Compressed and Fuzzy Reduced Grey level (SICFRG) model, which reduces the image dimension and grey level range without any loss of significant feature information. The present paper derives GLCM features on the proposed SICFRG model for efficient age classification that classifies facial image into a five groups. The SICFRG image mode of age classification is derived in three stages. In the first stage the 5 x 5 matrix is compressed into a 2 x 2 second order sub matrix without loosing any significant attributes, primitives, and any other local properties. In stage 2 Fuzzy logic is applied tPo reduce the Gray level range of compressed model of the image. In stage 3 GLCM is derived on SICFRG model of the image. The experimental evidence on FG-NET and Google aging database clearly indicates the high classification rate of the proposed method over the other methods.
Authors and Affiliations
Jangala. Sasi Kiran , Dr. V. Vijaya Kumar , Dr. B. Eswara Reddy
Language Specific Speech Feature Variation
Speech is basically used to impart message from one person to another. There are various properties of speech that may vary from person to person or from language to language. The power of human language is found to be e...
The Reality of Software Reverse Engineering Education in the Jordanian Universities and How to improve it
In order to apply reverse engineering in software industry in an efficient and effective way there should be a high awareness in software reverse engineering concepts, approaches, and tools for employees in the software...
An Efficient Text Clustering Approach using Affinity Propagation with weight modification
Recently the text mining has emerged as one of the most important fields of data mining because of most of the searching in the web is done on the basis of provided text, also the increasing use of social web network use...
AN INTELLIGENT APPROACH OF WEB DATA MINING
With an explosive growth of the World Wide Web, websites are playing an important role in providing an information and knowledge to the end users. Web usage patterns are an important aspect to discover hidden and meaning...
A Relative Study on Retinal Vessel Segmentation
Retinal image processing is a standard medical repetition and offers number of profitable products for physicians. In the field of retinal image processing retinal vessel segmentation is the crucial task for detection of...