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A Novel Approach to Skew Detection and Character Segmentation for Handwritten Bangla Words

A Novel Approach to Skew Detection and Character Segmentatio...

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Proceedings of the Digital Image Computing: Technqiues and Applications (DICTA)

作者： A. Roy T.K. Bhowmik S.K. Parui U. Roy Department of Computer and System Sciences Visva Bharati University Santiniketan India Embassy Golf Link IBM Global Services Private Limited Bangalore India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

Character segmentation is a necessary preprocessing step for character recognition in many handwritten word recognition systems. The most difficult case in character segmentation is the cursive script. Fully cursive nature of Bangla handwriting, the natural skewness in words poses some challenges for automatic character segmentation. In this article a novel approach to skew detection, correction as well as character segmentation has been presented for handwritten Bangla words as a test case. Segmenting points are extracted on the basis of some patterns observed in the handwritten words. With these segmenting points a graphical path (hereafter referred to as a candidate path) has been constructed. The handwritten words contain some consistent and also inconsistent skewness. Our algorithm can cope with both types of skewness at a time. Further the method is so direct that with the help of a candidate path one can handle both skew correction and segmentation successfully. the algorithm has been tested on a database prepared for laboratory use. The method yields fairly good results for this database.

关键词： Image segmentation Character recognition Optical character recognition software computer vision pattern recognition Testing Databases Algorithm design and analysis Writing Handwriting recognition

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Optimal sub-shape models by minimum description length

Optimal sub-shape models by minimum description length

引用

Conference on computer vision and pattern recognition (CVPR)

作者： G. Langs P. Peloschek H. Bischof Institute for Computer Graphics and Vision Graz University of Technology Graz Austria Pattern Recognition and Image Processing Group University of Technology Vienna Vienna Austria Department of Clinical Radiology Vienna Medical University Vienna Austria

Active shape models are powerful and widely used tool to interpret complex image data. By building models of shape variation they enable search algorithms to use a priori knowledge in an efficient and gainful way. However, due to the linearity of PCA, non-linearities like rotations or independently moving sub-parts in the data can deteriorate the resulting model considerably. Although non-linear extensions of active shape models have been proposed and application specific solutions have been used, they still need a certain amount of user interaction during model building. In this paper the task of building/choosing optimal models is tackled in a more generic information theoretic fashion. In particular, we propose an algorithm based on the minimum description length principle to find an optimal subdivision of the data into sub-parts, each adequate for linear modeling. This results in an overall more compact model configuration. Which in turn leads to a better model in terms of modes of variations. The proposed method is evaluated on synthetic data, medical images and hand contours.

关键词： Active shape model Biomedical imaging Principal component analysis computer vision Linearity Polynomials pattern recognition computer graphics Radiology Image processing

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A comparative study between ISITRA and wavelet filters

A comparative study between ISITRA and wavelet filters

引用

IEEE INDICON 2004 - 1st India Annual Conference

作者： Singh, Yumnam Kirani Parui, Swapan Kumar Banerjee, Shuvransu Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata-700108

ISBN: (纸本)0780389093

ISITRA is a new scheme of signal decomposition and reconstruction. In ISITRA, the space of PRF sets is much larger and more well-behaved than that in the existing schemes like filter bank or wavelets. Since such a space is constrained, it is mapped to an unconstrained space in which an optimization technique can be applied to find optimal PRF sets in terms of some criterion. Our criterion here is based on Mean Square Error and the optimization technique used is genetic algorithms. Optimal PRF sets thus found perform better than the popular Daubechies' filters for a compression task. © 2004 IEEE.

关键词： Optical filters

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A fast correlation attack for LFSR-based stream ciphers

A fast correlation attack for LFSR-based stream ciphers

引用

1st International Conference on Applied Cryptography and Network Security, ACNS 2003

作者： Palit, Sarbani Roy, Bimal K. De Arindom Computer Vision and Pattern Recognition Unit Indian Statistical Institute India Applied Statistics Unit Indian Statistical Institute India Computer Vision and Pattern Recognition Unit Indian Statistical Institute India

ISBN: (纸本)3540202080

This paper describes a novel fast correlation attack of stream ciphers. The salient feature of the algorithm is the absence of any pre-processing or iterative phase, an usual feature of existing fast correlation attacks. The algorithm attempts to identify a number of bits of the original linear feedback shift register (LFSR) output from the received bits of the ciphertext. These are then used to construct a system of linear equations which are subsequently solved to obtain the initial conditions. The algorithm is found to perform well for LFSRs of large sizes but having sparse polynomials. It may be noted that such polynomials have low Hamming weight which is one more than the number of feedback connections or "taps" of the corresponding LFSR. Its performance is good in situations even where limited cipherlength is available. Another important contribution of the paper is a modification of the approach when the LFSR outputs are combined by a function which is correlation immune and perhaps, unknown to the decrypter. © Springer-Verlag Berlin Heidelberg 2003.

关键词： Polynomials

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Segmentation of co-articulated basic units in isolated Bangla words using multifactorial analysis

Segmentation of co-articulated basic units in isolated Bangl...

引用

IEEE INDICON 2004 - 1st India Annual Conference

作者： Chattopadhyay, Tanushyam Chaudhuri, B.B. Systems TCS Kolkata Computer Vision and Pattern Recognition Unit Indian Statistical Institute Jawaharlal Nehru

ISBN: (纸本)0780389093

One of the major challenges in speech synthesis and recognition is co-articulated unit segmentation. In this paper we present a novel technique for segmenting the basic co-articulated units using multifactorial analysis based approach. The proposed algorithm is applied on isolated spoken words in Bangla. The results obtained from a considerably large database show the strength of the approach. ©2004 IEEE.

关键词： Speech synthesis

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An approach to a rough set decision system for classification of different heart diseases

An approach to a rough set decision system for classificatio...

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AMSE International Conference on Modelling and Simulation, MS'2004

作者： Mitra, S. Mitra, M. Chattopadhya, S. Chaudhuri, B.B. Department of Applied Physics Faculty of Technology University of Calcutta India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India JIS College of Engineering Kalyani India

In this paper a rule based rough set decision system for development of a disease inference engine is described. For this purpose an off-line data acquisition system of paper electrocardiogram (ECG) records are developed using image processing techniques. A QRS detector is developed for detection of R-R interval from ECG waves. After detection of this R-R interval the P and T waves are detected based on syntactic approaches and different time-plane features are extracted from every ECG signals. From a knowledgebase which is developed from the feedback of different reputed cardiologists and consultation of different medical books the essential time plane features for ECG interpretation have been selected. Finally, a rule-based roughest decision system is generated for the development of an inference engine for disease identification from these time-plane features.

关键词： Inference engines

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A system for word-wise handwritten script identification for Indian postal automation

A system for word-wise handwritten script identification for...

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IEEE India Conference (INDICON)

作者： K. Roy A. Banerjee U. Pal Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

Postal automation is a topic of research over the last few years. There are many works towards the postal automation in USA, UK, Japan and Australia, but for Indian postal automation there is no significant work. This paper deals with word-wise handwritten script identification for Indian postal automation. In the proposed scheme at first document skew is detected and corrected. Non-text parts are then segmented from the document using run length smoothing algorithm (RLSA). Next, using a piece-wise projection method the destination address block (DAB) is at first segmented into lines and then links into words. Using water reservoir concept we compute the busy-zone of the word. Finally, using matra/Shirorekha, water reservoir concept based feature, etc. a tree classifier is generated for word-wise Bangla/Devnagari and English scripts identification.

关键词： Automation Natural languages Water resources Reservoirs Optical character recognition software Australia Smoothing methods Seals Histograms Feature extraction

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A comparative study between ISITRA and wavelet filters

A comparative study between ISITRA and wavelet filters

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IEEE India Conference (INDICON)

作者： Y.K. Singh S.K. Parui S. Banerjee Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

ISITRA is a new scheme of signal decomposition and reconstruction. In ISITRA, the space of PRF sets is much larger and more well-behaved than that in the existing schemes like filter bank or wavelets. Since such a space is constrained, it is mapped to an unconstrained space in which an optimization technique can be applied to find optimal PRF sets in terms of some criterion. Our criterion here is based on mean square error and the optimization technique used is genetic algorithms. Optimal PRF sets thus found perform better than the popular Daubechies' filters for a compression task.

关键词： Genetic algorithms Image reconstruction Image coding Filter bank PSNR Discrete wavelet transforms Signal resolution Mean square error methods Discrete transforms Mirrors

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Segmentation of coarticulated basic units in isolated Bangla words using multifactorial analysis

Segmentation of coarticulated basic units in isolated Bangla...

引用

IEEE India Conference (INDICON)

作者： T. Chattopadhyay B.B. Chaudhuri Systems TCS Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute India

One of the major challenges in speech synthesis and recognition is coarticulated unit segmentation. In this paper we present a novel technique for segmenting the basic coarticulated units using multifactorial analysis based approach. The proposed algorithm is applied on isolated spoken words in Bangla. The results obtained from a considerably large database show the strength of the approach.

关键词： Speech synthesis State-space methods Databases Automatic speech recognition Image segmentation Image processing Linear predictive coding Switches Testing Signal analysis

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Identification of embedded mathematical expressions in scanned documents

Identification of embedded mathematical expressions in scann...

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International Conference on pattern recognition

作者： U. Garain B.B. Chaudhuri A.R. Chaudhuri Computer Vision & Pattern Recognition Unit Indian Statistical Institute Kolkata India Department of Computer Science & Engineering Jadavpur University Kolkata India

Efficient extraction of mathematical expressions is considered as an important pre-processing step to apply existing OCR systems to convert scientific papers into their electronic format. In this correspondence, a technique for extracting embedded (or in-line) expressions has been presented. The proposed method for expression extraction initially invokes an existing OCR to recognize the input document. Several features including word n-grams (a statistical analysis of a corpus of scientific documents reveals that the word level n-gram profile for sentences containing embedded expressions is quite different from that of the sentences without any expression) are computed on sentence level to spot sentences containing expressions. Expression zones are pin pointed by exploiting OCR inability to handle expressions and by using some common typographical aspects followed in typing mathematical expressions. Experimental results on a considerable size of dataset show high efficiency of the proposed technique.

关键词： Optical character recognition software Text recognition Character recognition pattern recognition computer vision computer science Statistical analysis Embedded computing Engines Matrix converters

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