Informatics Publishing Limited

R. Muthalagu ¹, E. U. Iniyan ²

Affiliations
1 Department of Electronics and Communication Engineering, Prathyusha Institute of Technology and Management, Anna University of Technology, Chennai-113, IN
2 Department of Electronics and Communication Engineering, Prathyusha Institute of Technology and Management, Anna University of Technology, Chennai-113, IN

Abstract

This paper analyzes the characteristics of combination of wavelet transform and second generation Curvelet transform. In the existing system, Wavelet transform of two images (i.e.) the image may be CT image or MRI image is obtained and the curvelt transform is taken for the wavelet transformed image. Finally the two curvelet transformed images are fused. The limitation of this method is loss of curved ends in WT image and loss of sharp ends in the Curvelet transformed image. Wavelet transform takes block base to approach the singularity of C2. So curved ends are missed in this transformation but we can obtain the sharp ends. By using Curvelt transform we can able to recover the curved ends of the image because it takes wedge base to approach the singularity of C2. But we missed the sharp ends in the Curvelet transformed image. But in the proposed system, Wavelet transform as well as Curvelet transform is taken for two CT images. These two transformed images are then fused. The similar technique is applied for MRI image also. So that we can able to recover both the sharp ends and the curved ends when we use these two transformed images. The fused image is more informative than the original image.

Keywords

Component, Image Processing, Image Fusion, Regional Activity, Wavelet Transform, Second Generation Curvelet Transform.

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B. Ashish ¹, R. Muthalagu ¹

Affiliations
1 Department of Electronics and Communication Engineering, Prathyusha Institute of Technology and Management, Thiruvallur, Chennai, IN

Abstract

In the present days hackers are hacking passwords almost in every system. Hacking creates a lot of problems in all sectors. To get away from those problems, we are implementing a new concept of image based authentication system. In this we are using images/symbols as a part of passwords. These images/symbols are assigned to Alphabets/numbers in the actual password. Initially the password was created by the user during registration. In the next step user will select three images, after selecting images when he continue for the further process the each number/letter in the passwords which is created by the user will be assigned to the each image. This assigning process varies from one user to other user. While login, initially the user has to give user name and select three images. After that in the next step he has to give the three letter password. The user will be authenticated only when images and passwords match. By this way an extra technique for secure login is implemented along with the normal encryption process. Steganography is the encryption process we are using in our system and the algorithm we are using is LSB algorithm. Hence it is not very easy to decode the password. For the applications like Banks, Military etc… We can add more Security by introducing RFID, GSM modem to the system. This system can avoid problems of hacking and provide more secure login.

Keywords

Data Base, Steganography, Data Source Name (DSN).

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