Online signature verification is the process of using a dynamic system to confirm writer’s identity. It can be used as security entrance applications and password substitutes, well forensic tool assist an expert’s investigation. This study proposes novel online based on single-template strategy improve performance in real-world scenarios. employs discriminative mean template sets fusion strateg...

Many time series data mining problems can be solved with repeated use of distance measure. Examples such tasks include similarity search, clustering, classification, anomaly detection and segmentation. For over two decades it has been known that the Dynamic Time Warping (DTW) measure is best to for most tasks, in domains. Because classic DTW algorithm quadratic complexity, many ideas have intro...

GPS trajectory data in intersections are series with different lengths. Dynamic time wrapping (DTW) is good to measure the similarity between lengths, however, traditional DTW could not deal inclusive relationship well series. We propose a unified generalized algorithm (GDTW) by extending boundary constraint and continuity of using weighted local distance normalize cumulative distance. Based on...

We describe a wordspotting algorithm based on a predictive neural model for a telephone speech corpus. Each keyword is modeled as a whole word. For keyword detection scoring we used a minimum accumulated prediction residual. We computed empirically a threshold value for rejecting non-keyword speech in place of building non-keyword models. We tested the algorithm with the TUBTEL telephone speech...

This paper describes a spoken keyword search system developed at the Chinese University of Hong Kong (CUHK) for the query by example search on speech (QUESST) task of MediaEval 2014. This system utilizes posterior features and dynamic time warping (DTW) for keyword matching. Multiple types of posterior features are generated with different tokenizers, and then fused by a linear combination on t...

To overcome the computational complexity of the asynchronous Hidden Markov Model (AHMM), we present a novel multidimensional dynamic time warping (DTW) algorithm for hybrid fusion of asynchronous data. We show that our newly introduced multidimensional DTW concept requires significantly less decoding time while providing the same data fusion flexibility as the AHMM. Thus, it can be applied in a...

We have proposed new approach for the speech recognition system by applying kernel adaptive filter for speech enhancement and for the recognition, the hybrid HMM/DTW methods are used in this paper. Noise removal is very important in many applications like telephone conversation, speech recognition, etc. In the recent past, the kernel methods are showing good results for speech processing applic...

This paper describes the signature as a one of the most robust and widely used trait in biometric verification. The signature is also known as behavioral biometric property. We present comparative analysis of offline signature recognition based on Dynamic Time Warping (DTW) and Maximally Stable Extremely Regions (MSER). The MSER system reported accuracy of 95. 371% where FAR is 5. 25% and FRR i...

Fine metallic screens are important sub-systems in propellant tank systems of spacecrafts due to their application as filter devices. The flow resistance has to be known for a proper design of tank and feed line systems. In this paper the flow resistance of application-relevant metallic screens is investigated experimentally. The weave types “dutch twilled weave” (DTW) and “broad mesh” (BM) wer...

This paper describes the implementation of two isolated digit recognition techniques and is a comparison between the algorithms implemented. Any digit recognition comprises of mainly two stages feature extraction and similarity evaluation. Here, two feature extraction techniques, namely linear predictive cepstral coefficients (LPCC) and mel frequency cepstral coefficients (MFCC) are implemented...