Tag: Matlab

Identification and Extraction of Fingerprint Matching ABSTRACT Fingerprints are the oldest and most widely used form of biometric identification. Everyone is known to have unique, immutable fingerprints. As most Automatic Fingerprint Recognition Systems are based on local ridge and bifurcations as features known as minutiae, marking minutiae accurately is very important. A critical step in

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  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 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 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

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 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

Implementation of Face Detection and Tracking Abstract In this paper, we addressed the problem of facerecognition under mismatched conditions. In the proposed sys-tem, for face representation, we leveraged the state-of-the-artdeep learning models trained on the VGGFace2 dataset. Morespecifically, we used pretrained convolutional neural networkmodels to extract 2048 dimensional feature vectors from faceimages of International Challenge

Multiple People Tracking using Contextual Abstract The advance of technology makes video acquisition devices better and less costly, thereby increasing the number of applications that can effectively utilize digital video. Compared to still images, video sequences provide more information about how objects and scenarios change over time. For object recognition, navigation systems and surveillance systems,

QAM (Quadrature Amplitude Modulation) ABSTRACT In this project we are going to implement M-array QAM modulator, here M being 16. This paper is a demonstration of complete system generator based design of 16-QAM transmitter which can be easily implemented. Each of the possible symbols is a combination of a real and a complex value and