Improved Fuzzy Support Vector Machine for Face Recognition
Journal Title: Scholars Journal of Engineering and Technology - Year 2016, Vol 4, Issue 1
Abstract
Abstract: Face recognition is the most emerging research area of the pattern recognition since the early 1990s. This paper presents a new classifier called modified fuzzy support vector machine (MFSVM) by modification in membership function of Fuzzy Support Vector Machine using Combination of Distance Feature, Correlation. We use based on discrete wavelet transform (DWT), discrete Cosine transform (DCT) as a combined feature extraction method and modified fuzzy support vector machine (MFSVM) for face recognition. First the face image is decomposed by 2-D wavelet, then the 2-dimentional DCT is applied to the low-frequency image. Then, using the DCT coefficient, face image can be recognized using MFSVM classifier. The experiment is carried out on the ORL database the result is encouraging, which achieves high accuracy. Keywords: Face Recognition, discrete wavelet transform (DWT), discrete cosine transform (DCT), fuzzy support vector machine (FSVM), Modified fuzzy support vector machine (MFSVM), feature extraction.
Authors and Affiliations
Navin Prakash, Dr. Yashpal Singh
Keywords
Related Articles
- EP ID EP383310
- DOI -
- Views 77
- Downloads 0
Corrosion Mechanisms Caused on a Submerged Nozzle Applied in Steel Billet Production by Mold Fluxes with and without Fluorine
Alumina-graphite (Al2O3-C) refractories are used as immersion nozzles for the continuous casting of steel. Carbon containing refractory materials have been widely used due to their excellent mechanical properties, therma...
A Review On Compressive And Flexural Strength Of Concrete Containing Fly Ash In Normal And Acidic Environment
Concrete has become an indispensable construction material and it is now used in greater quantities than any other material. In the present context durability, strength, economy and stainable development are key issues f...
Comparative Study and Analysis of Various Edge Detection Algorithms in Digital Image Processing
In the field of image processing, edge detection is an important step for extracting relevant and meaningful information from digital images. The main goal of edge detection techniques is to obtain and detect thin edges...
Gaussian Fuzzy Membership Function for Enhancement of Different Medical Images
Disease is a cause which originates the need of treatment, whenever there is any kind of suspicion, person tends to visit specialist for diagnose. Diagnose of disease tissues is crucial task in order to take right decisi...
Trial Equation Method for Exact Travelling Solutions of Fifth Order Caudrey-Dodd-Gibbon Equation
Under the travelling wave transformation, some nonlinear partial differential equations such as the fifth order Caudrey-Dodd-Gibbon equation are transformed to ordinary differential equation. Then Using trial equation me...