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Human machine interaction is one of the most burgeoning area of research in the field of information technology. To date a majority of research in this field has been conducted using unimodal and multimodal systems with asynchronous data. Because of the above, the improper synchronization, which has become a common problem, due to that, the system complexity increases and the system response time...
Raga plays an important role in Indian classical music. Raga is made up from the swara or note. According to characteristics of raga, Indian classical music is further divided into two systems Hindustani / North Indian classical music, Carnatic / South India classical music. This paper introduces us with some basic terms in Indian classical music and terms associated with raga. Then we discussed different...
Speaker identification attempts to determine the best possible match from a group of certain speakers, for any given input speech signal. The text-independent speaker identification system does the task to identify the person who speaks regardless of what is said. The first step in speaker identification is the extraction of features. In this proposed method, the Bessel features are used as an alternative...
The manuscript presents Marathi connected word speech recognition system. The system is implemented using Melfrequency Cepstral Coefficient (MFCC) feature extraction technique and Continuous Density Hidden Markov Model (CDHMM). Initially, recorded speech signals of connected words are segmented into words using speech segmentation algorithm. The speech segmentation algorithm is based on two basic...
It is no doubt that fingerprint recognition is the most common biometric modality, which can be used to authenticate the identity of a person. Automatic identification systems based on fingerprint recognition have been extensively deployed in the industrial and forensics area. The performance of these systems relies on the accuracy of the fingerprint comparison algorithm, which is still suffering...
In this paper, Geodesic Derivative Pattern (GDP) for Off-line handwritten signature verification is presented. We combine features based on both gray level and geometric information in the decision level. The Local Derivative Pattern (LDerivP) and the geodesic distance are used as features. It should be mention that the geodesic distance has never been used in offline signature verification. The method...
In this paper multi-class classification system of handwritten Arabic digits using Dynamic Bayesian Network (DBN) is proposed, in which technical details are presented in terms of three stages, i.e. pre-processing, feature extraction and classification. Firstly, digits are pre-processed and normalized in size. Then, features are extracted from each normalized digit, where a set of new features for...
This paper proposes a high resolution palmprint biometric recognition system that matches incomplete or degraded palmprints. Most of the existing work in this field was developed for commercial applications, usually for low resolution images. For high resolution palmprints, such as the ones used by forensic experts, the same techniques tend not to explore the full potential of the available biometric...
Content based image classification is a vital component of machine learning and is attaining increasing importance in the field of image processing. This paper has carried out widespread comparison of block truncation coding based techniques for feature vector extraction of images which is a precursor of image classification. A new block truncation coding (BTC) based technique using even and odd image...
The current state-of-the-art speech emotion recognition approaches focus on discrete emotion classification to suit the users' need. However, in more practical perspective, emotion is deemed complex to be individually segregated and it is a continuous process that will change dynamically over time. Subsequently, no researcher can really claim of being able to find the threshold discriminating one...
The fingerprint ridge structure can be directly generated from its following features: the position of minutiae, the orientation field and the ridge frequency map. It was once believed that minutiae template does not reveal sufficient information of the orientation field and ridge frequency map to allow the reconstruction of the original fingerprint image. This belief has now been shown to be false;...
Large amounts of handwritten documents have been digitized, and the need to search and index these documents is increasing to make them more accessible. Different word spotting systems have been proposed to search for words for this purpose. Since the precision of the word spotting system is crucial, verifying the results of a word spotting system is becoming an effective approach to improve the system...
In this paper, a novel method of generating can-celable cryptographic key using local features from fingerprint minutiae points has been proposed. Local features from input fingerprint image are determined and minutiae points are extracted using Gabor filter. Then a template matrix is generated from extracted minutiae points. Two directed acyclic graphs (DAG) are generated from the template matrix...
Biometric palmprint identification is a technology used for identification and verification of palmprints using image acquisition, preprocessing, feature extraction and template matching. Even though the existing palmprint authentication systems have several advantages, there exist many disadvantages such as less accuracy, computational complexity, implementation expense, high resolution and storage...
In this paper, we present three versions of an open source software for biometric iris recognition called OSIRIS_V2, OSIRIS_V3, OSIRIS_V4 which correspond to different implementations of J. Daugman's approach. The experimental results on the database ICE2005 show that OSIRIS_V4 is the most reliable on difficult images while OSIRIS_V2 is the fastest. So, we propose a novel strategy for iris recognition...
Orthogonal Transforms and Wavelets can be used to extract features of a biometric in frequency domain. They also exhibit the property of energy compaction which can be used to select few coefficients as features of an image. Here we make use of a Hybrid wavelet, generated by using Kronecker product of two existing orthogonal transforms, Walsh and DCT to identify multi-spectral palmprints. A threshold...
Outliers in real time speaker recognition can be viewed as a disturbing element and one of the reason of the degradation of the recognition accuracy. In speaker space, outliers may consider as non-intrinsic speaker's information in clean environment or noise information in noisy environment. So detection of outliers purify the speaker space with most speaker specific feature vectors in both clean...
In this study, a method for determining the location and extent of myocardial infarction using BSPM data that was obtained from PhysioNet challenge 2007 database has been suggested. This data is related to the four patients with MI that we used from two patients as training set to determine rules, and from two other patients for testing set and the conclusion of the proposed model. At first, T-wave...
In this paper, a novel electric current flow (ECF) based model is proposed to perform feature based non-rigid brain image registration. The ECF features simultaneously capture both voxel intensity and inter-voxel distance information. In the proposed ECF framework, each voxel is regarded as exhibiting electric potential proportional to voxel intensity. Voxels are connected by conductive wires in a...
Recently, a significant amount of interest has been developed in motivating physicians to use e-health technology (especially Electronic Medical Records (EMR) systems). An important utility of such EMR systems is: a next generation of Clinical Decision Support Systems (CDSS) will extract knowledge from these electronic medical records to enable physicians to do accurate and effective diagnosis. It...
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