نتایج جستجو برای: document image processing

تعداد نتایج: 937442  

2003
Edmund Y. Lam

Data compression is an important area in electronic document processing. A document can consist of text and image, with different statistical behavior. When we use JPEG compression, it is advantageous to tune the parameters for individual blocks to enhance the decompression quality. We demonstrate a method that can be incorporated in the JPEG decoder, which utilizes the amplitude distribution o...

Journal: :bulletin of the iranian mathematical society 0
a. arefijammal department of mathematics and computer sciences‎, ‎hakim sabzevari university‎, ‎sabzevar‎, ‎iran. e. zekaee department of mathematics‎, ‎shahrood university of‎ ‎technology‎, ‎shahrood‎, ‎iran.

‎we present an application of the dual gabor frames to image‎ ‎processing‎. ‎our algorithm is based on finding some dual gabor‎ ‎frame generators which reconstructs accurately the elements of the‎ ‎underlying hilbert space‎. ‎the advantages of these duals‎ ‎constructed by a polynomial of gabor frame generators are compared‎ ‎with their canonical dual‎.

Journal: :The Journal of the Korean Institute of Information and Communication Engineering 2011

2012
Smita V. Khangar Latesh G. Malik

In this paper, compression scheme is presented for Indian Language handwritten text document images. Document image compression is an active area of research. Current OCR technology is not effective for handling the handwritten text images. The proposed compression scheme deals with the handwritten gray level document in Devnagri script. The method is based on the separation of foreground and b...

1996
Omid E. Kia David S. Doermann

In this paper we describe a structural compression technique to be used for document text image storage and retrieval. The primary objective is to provide an eecient representation, storage, transmission and display. A secondary objective is to provide an encoding which allows access to speciied regions within the image and facilitates traditional document processing operations without requirin...

1996
Omid E. Kia David S. Doermann

In this paper we describe a structural compression technique to be used for document text image storage and retrieval. The primary objective is to provide an eecient representation, storage, transmission and display. A secondary objective is to provide an encoding which allows access to speciied regions within the image and facilitates traditional document processing operations without requirin...

Journal: :IJMSTR 2014
Robert Keefer Nikolaos G. Bourbakis

Page layout analysis and the creation of an XML document from a document image are useful for many applications including the preservation of archived documents, robust electronic access to printed documents, and access to print materials by the visually impaired. In this paper, the authors describe a document image process pipeline comprised of techniques for the identification of article head...

2013
Deepika Ghai Neelu Jain S. Malakar S. Halder R. Sarker N. Das S. Basu M. Nasipuri S. J. Ha B. Jin N. I. Cho R. P. D. Santos G. S. Clemente T. I. Ren G. D. C. Calvalcanti H. Kawano H. Orii H. Maeda

Text extraction in an image is a challenging task in the computer vision. Text extraction plays an important role in providing useful and valuable information. This paper discusses various approaches such as Adaptive Local Connectivity Map (ALCM), Expectation Maximization (EM), Maximization Likelihood (ML), Markov Random Field (MRF), Spiral Run Length Smearing Algorithm (SRLSA), Curvelet transf...

2000
M. S. HOQUE M. C. FAIRHURST

CHARACTER RECOGNITION M. S. HOQUE, M. C. FAIRHURST Electronic Engineering Laboratory, University of Kent, Canterbury, Kent CT2 7NT, United Kingdom. E-mail: fmsh4,[email protected] A new classi cation scheme, primarily aimed at applications in document image processing, is presented. Features are extracted from a partial image and a subclassi er generates scores based on the likelihood of the sub-i...

Journal: :بینا 0
امین­اله مه­آبادی a mahabadi تهران- خیابان کارگر شمالی- پلاک 117- مرکز تحقیقات مهندسی و فن آوری دانشگاه شاهد اصغر میرزایی a mirzaei تهران- خیابان کارگر شمالی- پلاک 117- مرکز تحقیقات مهندسی و فن آوری دانشگاه شاهد

purpose: to present a new reliable and accurate iris recognition method applicable in identification systems. methods: the system was implemented and tested on 876 standard iris images (daugman iris images database) from 876 persons of different nationalities via image processing techniques. results: false accept reject (far) and false reject reject (frr) were smaller in our suggested method as...

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