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检索条件"任意字段=Proceedings of the Thirteenth Indian Conference on Computer Vision, Graphics and Image Processing"

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Character Segmentation of Handwritten Bangla Text by Vertex Characterization of Isothetic Covers

Character Segmentation of Handwritten Bangla Text by Vertex ...

引用

National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Soumen Bag Partha Bhowmick Gaurav Harit Arindam Biswas Computer Sc. & Engineering Department Indian Institute of Technology Kharagpur India Computer Sc. & Engineering Department Indian Institute of Technology Rajasthan India Computer Sc. & Engineering Department BESU Shibpur India

Segmentation of cursive handwriting is one of the most challenging problems in the area of handwritten character recognition. In this paper, we propose a novel approach towards character segmentation in a handwritten document. It is based on the vertex characterization of outer isothetic polygonal covers so that each cover corresponds to a particular word or part of a word. The proposed method has the potential to segment skewed text without deskewing them. Experiment is done on several Bangla handwritings of different individuals. The average success rate is 96.04\%. This method can be considered as a significant preprocessing step towards the development of a handwritten Bangla OCR system.

关键词： image segmentation Optical character recognition software Character recognition computers Accuracy Feature extraction Reservoirs

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Fuzzy Rule Based Document image Segmentation for Component Labeling

Fuzzy Rule Based Document Image Segmentation for Component L...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Aditi Kapoor Parul Pandey K.K. Biswas Amar Nath and Shashi Khosla School of Information Technology Indian Institute of Technology Delhi New Delhi India Department of Computer Science and Engineering Indian Institute of Technology Delhi New Delhi India

In this paper, we propose a fuzzy rule based method for extensive segmentation of documents, with the view of labeling various components like page header, title, figure and tables, column divider, text etc. The fuzzy rules are learned using evolutionary computation, based on labeled document images serving as ground truth. The proposed fuzzy rules exploit the placement heuristics among the various components in a technical paper. A genetic algorithm involving individual fitness functions of all components selects the best set of rules. The effectiveness of the proposed method is validated through a case study involving 300 documents. It is also shown that this approach can be extended to segmentation of magazine pages.

关键词： Labeling image segmentation Genetic algorithms Equations Text analysis Layout Biological cells

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A Fast Interactive image Segmentation to Locate Multiple Similar-colored Objects

A Fast Interactive Image Segmentation to Locate Multiple Sim...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Bibhas Chandra Dhara Bhabatosh Chanda Department of Information Technology Jadavpur University Kolkata India Electronics and Communication Sciences Unit Indian Statistical Institute Kolkata India

A fundamental problem in image processing is image segmentation. The conventional image segmentation methods, to some extent, all suffe from the problem of inaccurate segmentation. A slightly easier and more approachable problem - interactive segmentation - has also received a lot of attentions over the years. In this paper, we propose a fast and simple interactive image segmentation technique. This segmentation process is conducted in two modules. First, the original image is pre-segmented by a low level segmentation method. Second, some portion of the object-of-interest is marked. The proposed method identifies all the similar-colored objects present in the image. In this work, color feature is used to measure the closeness between two regions and accordingly the label of the unmarked region is decided.

关键词： image segmentation Merging computer vision image color analysis Histograms Object recognition

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A novel approach for delineation and feature extraction in QRS complex of ECG signal

A novel approach for delineation and feature extraction in Q...

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2011 International conference on image Information processing, ICIIP 2011

作者： Pramanik, Sayak Mitra, Rupendra Nath Mitra, Sucharita Chaudhuri, Bidyut Baran Department of Electronics and Communication Institute of Engineering and Management Kolkata India Network Planning and Optimization Nokia Siemens Networks Pvt. Ltd. Kolkata India Department of Electronics Netaji Nagar Day College Kolkata India Computer Vision and Pattern Recognition Unit Indian Statistical Institute Kolkata India

ISBN: (纸本)9781612848617

This paper reports the development of a software suite to be accessed in future with any General Packet Radio Service (GPRS) enabled mobile phone or Personal Digital Assistant (PDA) for the extraction and analysis of disease-related features from the images of paper based ECG records. In India and other developing countries, the cheaper paper based ECG machines are mainly used. Also in rural areas of these countries - where there is acute dearth of qualified cardiologists, the cardiac diseases are still the major silent killers. One way of addressing this problem is cellular medicine which necessitates an intelligent cardiac parameter extraction algorithm. In our bid to address exactly this requirement, a software is developed with the help of few image processing techniques. At first, the background noises i.e. the gridlines are removed by thresholding technique. Binarization and thinning has been done for extraction of digital time data and then Discrete Wavelet Transform (DWT) and water reservoir based pattern recognition technique are subsequently used to delineate other important ECG parameters for ECG interpretation. © 2011 IEEE.

关键词： Electrocardiograms

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Parametric Video Compression Using Epitome Based Texture Synthesis

Parametric Video Compression Using Epitome Based Texture Syn...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Shruti Bansal Santanu Chahudhury Brejesh Lall Department of Electrical Engineering IIT Delhi India Indian Institute of Technology Guwahati Guwahati Assam IN

We present a video compression scheme using epitome based texture coding that uses a low quality video as side information and improves it by using the epitome. The side information is sent at different levels of quantization and resolution to optimize the quality against the bit rate. The concept of motion threading is used for propagation of epitome information from one frame to another. The proposed scheme shows promising results for low bit rate side information case because of the reduction in the level of blurring due to the introduction of high frequency information derived from the epitome.

关键词： image coding Decoding conferences image reconstruction Redundancy Bit rate Encoding

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Word & Character Segmentation for Bangla Handwriting Analysis & Recognition

Word & Character Segmentation for Bangla Handwriting Analysi...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： C. Halder K. Roy Department of Computer Science West Bengal State University Barasat Kolkata India

Segmentation of unconstrained handwritten word into different zones (upper middle and lower) and characters is more difficult than that of printed documents. This is mainly because of variability in inter-character distance, skew, slant, size and curved like handwriting. Sometimes components of two consecutive characters may be touched or overlapped and this situation complicates the segmentation task greatly. In indian languages such touching or overlapping occurs frequently because of modified characters of upper-zone and lower-zone. In this paper we propose a simple method to segment unconstrained handwritten Bangla word. We achieved 81.41% success rate in the proposed system.

关键词： image segmentation Accuracy Noise measurement Character recognition Handwriting recognition Histograms Compounds

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A Robust Human Iris Verification Using a Novel Combination of Features

A Robust Human Iris Verification Using a Novel Combination o...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Suvadip Mukherjee Bhabatosh Chanda Electronics and Communication Sciences Unit Indian Statistical Institute Kolkata India

This paper proposes a method for personal identification based on iris recognition. The iris segmentation is obtained by using an integro-differential operation. The segmented iris is then normalised and actually a small portion of the normalised portion is used for feature extraction. Three types of features are used: GLCM based features, Edge based features and Local Directional Pattern. We present a comparison of the performances of the above mentioned features. It is also shown experimentally that the half-way iris patterns exhibit a symmetry about the vertical axis. The multiclass recognition problem is reduced to a two class verification problem. Experimental results show that our proposed method has encouraging performance.

关键词： Iris recognition Feature extraction Vectors Accuracy image edge detection image segmentation Iris

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Interactive image Restoration Using Inpainting and Denoising

Interactive Image Restoration Using Inpainting and Denoising

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Nidhi Arora Prem Kalra Department of Computer Science and Engineering Indian Institute of Technology New Delhi India

Digital in painting is the technique of filling in the missing regions of an image using information from the surrounding area in a visually indistinguishable way. In this paper, we try to improve the Exemplar based method by manipulating the values of various parameters like patch size, shape and size of the mask. We present an analysis of the impact of various geometric parameters on the quality of in painted images. image denoising refers to the removal of unwanted noise from the images. In most cases, the images which need to be in painted are noisy, which makes it necessary to eliminate noise and fill in the missing regions from neighboring pixels. Therefore, filling in of missing regions and removal of noise are the two very important topics in image processing. This paper also addresses the issue of performing both in painting and denoising simultaneously using two different approaches: pipelined approach and interleaved approach. The effectiveness of these approaches is demonstrated with a number of results on various images.

关键词： Noise reduction Shape Noise Noise measurement conferences image restoration

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Cognitive Quantum Number - The Logic for Nano Scale Information processing in Minds and Machines

Cognitive Quantum Number - The Logic for Nano Scale Informat...

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Sankar Karan D. Dutta Majumder Institute of Radiophysics and Electronics Calcutta University Kolkata India Electronics and Communication Science Unit Indian Statistical Institute Kolkata India

We present a new concept for quantum computation and algorithms along with its theoretical understanding of quantum physics. We formulates the quantum logic and cognition of mind in general as the eigen value problems with the introduction of cognitive quantum number (CNQ), which interprets that the measurement act in the quantum domain parallels a decision process in domain of logic and it translates between the two. We also described the intelligent code of mind considering its operation as quantum mechanical in nature, that helps the modeling of information processing in case of quantum computing. Synthesis and spectral response of nano-particle towards quantum dot formation is also studied.

关键词： Quantum computing Quantum mechanics Vectors Equations computers Quantum dots

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An Efficient Hybrid Fingerprint Matching Algorithm

An Efficient Hybrid Fingerprint Matching Algorithm

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National conference on computer vision, Pattern Recognition, image processing and graphics (NCVPRIPG)

作者： Priyanka Das Kannan Karthik Boul Chandra Garai Electronics and Electrical Engineering Department Indian Institute of Technology Guwahati Guwahati Assam India ISRO Satellite Centre Bangalore India

In this paper, a hybrid fingerprint matching algorithm based on phase correlation and minutiae points is proposed to improve the matching accuracy in fingerprint verification system. The phase correlation function which operates in the Fourier domain is used to determine the rotational offset while the core point detection algorithm is used to provide translational adjustment. Finally to match the aligned input and template minutiae sets, a Weighted Average Distance (WAD) measure is introduced. Experimental results show that the proposed method has an Equal Error Rate of 1.02% and 0.77% on two public domain databases FVC2002-DB1a and FVC2002-DB2a respectively.

关键词： Databases Reliability Correlation Fingerprint recognition Accuracy image matching image segmentation

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