Abstract Text information embedded in video frames play an important role in content-based multimedia indexing and retrieval, as a result the automatic detection of texts from videos has gained wide attention in recent years. However,large variations in size, color, orientation and background complexity makes video text detection and extraction a challenging problem. In this paper an effective method for text detection... Text information embedded in video frames play an important role in content-based multimedia indexing and retrieval, as a result the automatic detection of texts from videos has gained wide attention in recent years. However,large variations in size, color, orientation and background complexity makes video text detection and extraction a challenging problem. In this paper an effective method for text detection and localization approach based on Log Gabor filter and Block Eigen map analysis is proposed. Log Gabor filter response is used to identify candidate text regions and Block wise Eigen map analysis is used to classify pixels as true text pixels. Finally,a heuristic based on gray scale pixel co-occurrence to eliminate false positives from the frame is used. Experimental results show the promising overall performance of the proposed method against the best features reported in the literature for the standard databases. Read More Read Less

Abstract Biometric technology deals with recognizing the uniqueness of individuals based on their exclusive Physical or behavioral characteristics. The developments in science and technology have made it possible to use biometrics in application when it is required to establish (or) confirm the identity of persons. Amongst a range of method, Iris recognition is a hastily intensifying technique of biometric technology. A... Biometric technology deals with recognizing the uniqueness of individuals based on their exclusive Physical or behavioral characteristics. The developments in science and technology have made it possible to use biometrics in application when it is required to establish (or) confirm the identity of persons. Amongst a range of method, Iris recognition is a hastily intensifying technique of biometric technology. A large range of identification methods is used either verify or decide the identity of person request their processes, This paper provides the inspiration for image acquisition, segmentation, normalization standed on the human being Iris imaging. A combination method is used to fragment the eye’s digital image. The mined Iris region was then standardized by using Image registration method. A phase correlation method is installed for this Iris image registration principle. Investigational consequences demonstrate that our system is reasonably efficient and gives hopeful performance. Read More Read Less

Abstract The field of Human-Computer Interaction (HCI) has witnessed a tremendous growth in the past decade. The advent of tablet PCs and cell phones allowing touch-based control has been hailed warmly. The researchers in this field have also explored the potential of ‘eye-gaze’ as a possible means of interaction. Some commercial solutions have already been launched, but they are as yet... The field of Human-Computer Interaction (HCI) has witnessed a tremendous growth in the past decade. The advent of tablet PCs and cell phones allowing touch-based control has been hailed warmly. The researchers in this field have also explored the potential of ‘eye-gaze’ as a possible means of interaction. Some commercial solutions have already been launched, but they are as yet expensive and offer limited usability. This paper strives to present a low cost real time system for eye-gaze based human-computer interaction. Read More Read Less