General image classification approaches differentiate classes using strong distinguishing features but some classes cannot be easily separated because they contain very similar visual features. To deal with this problem, we can use keywords relevant to a particular class. To implement this concept we have newly constructed a malicious crowd dataset which contains crowd images with two events, b...

During past few years, human hand gesture for interaction with computing devices has continues to be active area of research. In this paper survey of hand gesture recognition is provided. Hand Gesture Recognition is contained three stages: Pre-processing, Feature Extraction or matching and Classification or recognition. Each stage contains different methods and techniques. In this paper define ...

We present an accurate and efficient system for traffic sign recognition in a real-world driving scene video. The proposed system uses local structure features to achieve high, illumination-invariant accuracy in detection and recognition. We exploit a property of traffic signs, namely, shared boundary shapes, to enhance the speed and accuracy of the detection step. A multi-level SVM structure i...

Iris recognition, a biometric technique used in high profile applications such as border crossing systems, single factor identity verification for the ATM users, India’s Aadhaar project, Airport security. Its robustness and unobtrusiveness make it superior entrant to reinstate most of the security system around. Iris recognition is listed as a high confidence biometric identification system as ...

Mining biological relationships from scientific text, which facilitates automatic construction of knowledge base and finding of new information, becomes one of the emerging applications. Named entity recognition is a fundamental task in relationship mining. Traditional methods listed a pre-defined set of words to indicate protein or gene interactions by intuition. The argument is that we cannot...

This paper describes a robust speech documents retrieval system that uses voice input keywords. To solve the inevitable problems which arise when the input to the system is speech, i.e. misrecognition, a novel method was developed, where, before the retrieval processing, unproductive keyword candidates are discarded by a grouping processing using the similarity between words and the recognition...

While a plethora of conversational speech has been recorded and archived for over a century, it has not been easily accessible due to many technical challenges vs. text and rehearsed speech to be addressed before conversational archives can be effectively searched and used. In this paper, we describe two language modeling methods for automatically assigning keywords to automatic speech recognit...

This paper presents a novel spoken document indexing framework for Spoken Term Detection (STD). Our proposed method utilizes an STD method for making an index from keywords collected from outputs from automatic speech recognition systems. The STD method is conducted for all the keywords as query terms; then, the detection result, a set of each keyword and its detection intervals in the spoken d...