Lossless Image compression Based on Discrete wavelet Transform

Lossless Image compression Based on Discrete wavelet Transform ABSTRACT A fundamental goal of digital image compression is to reduce the bit rate for transmission or data storage while maintaining an acceptable fidelity or image quality. In this study a proposed coding (compression) scheme for grey scale image by discrete wavelet transform (DWT). This method is

Face Recognition and Spoofing Detection System Adapted To Visually Impaired People Original

Face Recognition and Spoofing Detection System Adapted To Visually Impaired People Original ABSTRACT In this paper, an initiative passive continuous authentication(CA) system based on soft biometricsis presented. Human facial features are used as hard biometricinformation for the authentication process is employed as the soft biometric information. Thepassive CA system keeps verifying, without interrupting the userfrom

Fake Currency Detection

Fake Currency detection ABSTRACT Modernization of the financial system is a milestone in protecting the economic prosperity, and maintaining social harmony. The Reserve Bank of India is only one which has the full authority to issue bank notes in India. But some unsocial group of people is prone to make these fake currencies. Fake Indian

Image Steganography Hiding Image and Audio Using Robust LSB Algorithm

Image Steganography Hiding Image and Audio Using Robust LSB Algorithm Abstract Steganography is the art of hiding the fact that communication is taking place, by hiding information in other information. Many different carrier file formats can be used, but digital images are the most popular because of their frequency on the Internet. For hiding secret

Moving Object Path Prediction and tracking

Moving Object Path Prediction and tracking  ABSTRACT This paper reports an object tracking algorithm for a moving platform using the dynamic and active-pixel vision sensor (DAVIS). It takes advantage of both the active pixel sensor (APS) frame and dynamic vision sensor (DVS) event outputs from the DAVIS. The tracking is performed in a three step-manner:

Efficient Method to Number Plate Recognition Using Template Matching

Efficient Method to Number Plate Recognition Using Template Matching Abstract An exponential increase in number of vehicles necessitates the use of automated systems to maintain vehicle information. The information is highly required for both management of traffic as well as reduction of crime. Number plate recognition is an effective way for automatic vehicle identification. Some

Blood Vessel Segmentation & Detecting Multiple Objects Using Blob Detection

Blood Vessel Segmentation & Detecting Multiple Objects Using Blob Detection Abstract Compared to still images, video sequences provide more information about how objects and scenarios change over time. For many high vision purposes, detecting low-level objects in an image is of great importance. These objects, which can be 2D or 3D, are called blobs. This

Orthogonal Frequency Division Multiplexing

Orthogonal Frequency Division Multiplexing Abstract Orthogonal frequency-division multiplexing (OFDM) is a method of encoding digital data on multiple carrier frequencies. The data are sent over parallel sub-channels with each sub-channel modulated by a modulation scheme such as QPSK, 16 QAM etc. The advantage of OFDM is its ability to cope with severe channel conditions compared

Detection of oil seeping using k-means clustering based on color image segmentation

Detection of oil seeping using k-means clustering based on color image segmentation Abstract Color image segmentation has been the hotspot for the researchers in the image processing field. Color image segmentation using the k-means clustering algorithm has yielded fruitful results. An advantage resulting from the choice of color space representation could be taken to  enhance

Computer Vision Based Vehicle Detection & Counting

Computer Vision Based Vehicle Detection & Counting Abstract A vehicle detection and counting system plays an important role in an intelligent transportation system, especially for traffic management. This paper proposes a video-based method for vehicle detection and counting system based on computer vision technology. The proposed method uses background subtraction technique to find foreground objects