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Proper extraction of words from handwritten documents is a tedious task. In this paper we discuss an effective method for binarization of handwritten document images. Document binarization is a preprocessing step for the recognition of offline handwritten words. Various techniques used for binarization are discussed in this paper. The proposed method is evaluated and got good results. This approach...
Handwritten character recognition is still a research challenge in OCR discipline, especially for Indian scripts. This paper deals with handwritten Malayalam, a major Indian script, where past work considered a small subset of characters only. In this paper we deal with complete set of basic characters, vowel and consonant signs and compound characters that may be present in the script. Here the recognition...
Multispectral analysis is a promising approach in tissue classification and abnormality detection from Magnetic Resonance (MR) images. But instability in accuracy and reproducibility of the classification results from conventional techniques keeps it far from clinical applications. Recent studies proposed Independent Component Analysis (ICA) as an effective method for source signals separation from...
Axial brain slices containing similar anatomical structures are retrieved using features derived from the histogram of Local binary pattern (LBP). A rotation invariant description of texture in terms of texture patterns and their strength is obtained with the incorporation of local variance to the LBP, called Modified LBP (MOD-LBP). In this paper, we compare Histogram based Features of LBP (HF/LBP),...
This paper develops a novel automated Transdimensional Markov chain Monte Carlo sampling methodology for Bayesian Cointegrated Vector Auto Regression (CVAR) models. In automating the rank and cointegration vector estimation in CVAR models we solve an important problem in algorithmic trading of cointegrated price series. The automation of both the within model sub-space sampling for the cointegration...
Voice is the natural communication system used by all beings, human beings in particular. Understanding and recognizing human uttered voice for various applications is the core technology of "information" age. Automatic speech recognition has wide spread applications in real life situations. Here speech recognition of Malayalam isolated digit is created by using Mel Frequency Cepstral Coefficients...
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