SOM based Face Recognition using Steganography and DWT Compression Techniques

Biometrics is used in day to day life of human beings to access mobile phones, computers, vehicles etc. In this paper, we propose SOM based Face Recognition using Steganography and DWT Compression Techniques. The various available standard face databases such as ORL, JAFFE, NRI, YALE, Indian male and Indian female are used to test the performance of the algorithm. The number of face images per person is reduced using stenography compression technique. The preprocessing techniques such as resize and Gaussian filter are applied on reduced number of face images for uniform size and good quality of images. The initial features are extracted using Discrete Wavelet Transform (DWT) and Local Binary Pattern (LBP). The DWT and LBP features are fused using arithmetic additions and connected to input of Self Organizing Map (SOM). The final features are extracted from SOM. The test image features are compared with face database images using Euclidian Distance (ED) to compute performance parameters. It is observed that the performance of the proposed method is better than the existing methods

Compression Based Face Recognition Using DWT and SVM.

he biometric is used to identify a person effectively and employ in almost all applications of day to day activities. In this paper, we propose compression based face recognition using Discrete Wavelet Transform (DWT) and Support Vector Machine (SVM). The novel concept of converting many images of single person into one image using averaging technique is introduced to reduce execution time and memory. The DWT is applied on averaged face image to obtain approximation (LL) and detailed bands. The LL band coefficients are given as input to SVM to obtain Support vectors (SV’s). The LL coefficients of DWT and SV’s are fused based on arithmetic addition to extract final features. The Euclidean Distance (ED) is used to compare test image features with database image features to compute performance parameters. It is observed that, the proposed algorithm is better in terms of performance compared to existing algorithms

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Not AvailableThe experiment was conducted out at the Indian Institute of Rice Research, Rajendranagar, Hyderabad during dry season (Rabi) 2013-2014 and Wet season (Kharif) 2014 crop seasons. The objective was to establish the nature of relation between grain yield and yield components by partitioning the correlation co-efficients between grain yield and its components into direct and indirect effects by using simple correlation and path analysis. A correlation co-efficient and path analysis study was conducted with eleven parents and their 24 F1 crosses for eleven component characters including grain yield. The correlation studies of these crosses showed that, grain yield per plant exhibited highly significant positive association with plant height, number of productive tillers per plant, panicle length, grains per panicle, and harvest index while days to 50 per cent flowering registered non-significant negative association with grain yield.ICAR-Indian Institute of Rice Researc

Not Available

Not AvailableThe experiment was conducted out at the Indian Institute of Rice Research, Rajendranagar, Hyderabad during dry season (Rabi) 2013-2014 andWet season (Kharif) 2014 crop seasons. The objective was to establish the nature of relation between grain yield and yield components by partitioning the correlation co-efficients between grain yield and its components into direct and indirect effects by using simple correlation and path analysis. A correlation co-efficient and path analysis study was conducted with eleven parents and their 24 F1 crosses for eleven component characters including grain yield. The correlation studies of these crosses showed that, grain yield per plant exhibited highly significant positive association with plant height, number of productive tillers per plant, panicle length, grains per panicle, and harvest index while days to 50 per cent flowering registered non-significant negative association with grain yield.Not Availabl