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Extraction of bankcheck items by mathematical morphology

International Journal on Document Analysis and recognition 1999年第2期2卷 53-66页

作者： Xiangyun Ye Mohamed Cheriet Ching Y. Suen Ke Liu Centre for Pattern Recognition and Machine Intelligence Concordia University Suite GM 606 1455 de Maisonneuve Blvd. West Montreal Québec H3G 1M8 Canada CA

This paper presents a technique for extracting the user-entered information from bankcheck images based on a layout-driven item extraction method. The baselines of checks are detected and eliminated by using gray-level mathematical morphology. A priori information about the positions of data is integrated into a combination of top-down and bottom-up analyses of check images. The handwritten information is extracted by a local thresholding technique and the information lost during baseline elimination is restored by mathematical morphology with dynamic kernels. A goal-directed evaluation of the extraction approaches is proposed, and both qualitative and quantitative analyses show noticeable advantages of the proposed approach over the existing approaches.

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Skew detection, page segmentation, and script classification of printed document images

Skew detection, page segmentation, and script classification...

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IEEE International Conference on Systems, Man and Cybernetics

作者： B. Waked S. Bergler C.Y. Suen S. Khoury Centre for Pattern Recognition and Machine Intelligence GM 606 Concordia University Montreal QUE Canada Department of National Defence Ottawa ONT Canada

Automatic processing of international documents presents a number of challenging problems because Optical Character recognition (OCR) techniques are not available for all languages and all script classes. Document images must be categorized according to their script type first, in our case Roman, Ideographic, or Arabic. We present a set of statistical methods that first detect and correct the skew of a document image. Next, the page is segmented into text and graphical components. The textual components are then segmented into paragraphs and lines; and finally we classify the script type into one of three categories. The system predicts the correct script category in 91% of cases when tested on real-life documents of varying kinds, diverse formats and qualities from many sources.

关键词： Image segmentation Optical character recognition software Character recognition Optical filters Natural languages Gabor filters Feature extraction pattern recognition machine intelligence Statistical analysis

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OPTIMAL COMBINATIONS OF pattern CLASSIFIERS

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pattern recognition LETTERS 1995年第9期16卷 945-954页

作者： LAM, L SUEN, CY Centre for Pattern Recognition and Machine Intelligence Concordia University Suite GM-606 1455 de Maisonneuve Boulevard West Montreal Quebec H3G 1M8 Canada

To improve recognition results, decisions of multiple classifiers can be combined. We study the performance of combination methods that are variations of the majority vote. A Bayesian formulation and a weighted majority vote (with weights obtained through a genetic algorithm) are implemented, and the combined performances of 7 classifiers on a large set of handwritten numerals are analyzed.

关键词： MULTIPLE CLASSIFIER SYSTEMS OCR MAJORITY VOTE GENETIC ALGORITHM BAYESIAN METHOD

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Extraction of reference lines from documents with grey-level background using sub-images of wavelets

Extraction of reference lines from documents with grey-level...

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International Conference on Document Analysis and recognition

作者： Y.Y. Tang Hong Ma Dihua Xi Yi Cheng C.Y. Suen Center for Pattern Recognition and Machine Intelligence GM-606 Concordia University Montreal West QUE Canada Department of Mathematics Sichuan University Chengdu Sichuan China Department of Computer Science Sichuan University Chengdu Sichuan China

Based on wavelets, a new theoretical method has been developed to process form documents. In this method, two-dimensional multiresolution analysis (MSA), wavelet decomposition algorithm, and compactly supported orthonormal wavelets are used to transform a document image into sub-images. According to these sub-images, the reference lines of forms can be extracted, and knowledge about the geometric structure of the document can be acquired. Experiments prove that this new method can be applied to process documents with promising results.

关键词： Multiresolution analysis Extraterrestrial measurements Wavelet analysis Hilbert space Signal processing Image processing pattern recognition machine intelligence Signal processing algorithms Wavelet transforms

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Discriminant performance of the algebraic features of handwritten character images 12

Discriminant performance of the algebraic features of handwr...

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12th IAPR International Conference on pattern recognition - Conference B: pattern recognition and Neural Networks, ICPR 1994

作者： Liu, Ke Huang, Yea-Shuan Suen, Ching Y. Yang, Jing-Yu Liu, Lei-Jian Liu, Ying-Jiang Centre for Pattern Recognition and Machine Intelligence Concordia University Suite GM-606 1455 de Maisonneuve Blvd. West MontrealQCH3G 1M8 Canada Department of Computer Science Nanjing University of Science and Technology Nanjing210014 China

ISBN: (纸本)0818662700

One of the most important topics in handwritten character recognition is the extraction of features from character images. In this paper, an algebraic feature extraction technique is applied to recognize handwritten characters. The discriminant performance of the algebraic features extracted from both handprinted characters and totally unconstrained handwritten numerals is studied. Experimental results are provided. © 1994 Institute of Electrical and Electronics Engineers Inc.. All rights reserved.

关键词： Extraction

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DOCUMENT STRUCTURES: A SURVEY

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International Journal of pattern recognition and Artificial intelligence 1994年第5期8卷 1081-1111页

作者： YUAN Y. TANG CHING Y. SUEN Centre for Pattern Recognition and Machine Intelligence Suite GM-606 Concordia University 1455 de Maisonneuve Blvd. West Montreal Quebec H3G 1M8 Canada

Knowing the structure of a document is the key to successful processing of a document. There exist a variety of definitions of document structures. This paper is a survey of methods describing document structures. Several novel concepts and theoretical analyses are also presented. A document not only has a concrete two-dimensional image but also a conceptual structure which corresponds to human’s thinking. The process of publishing or writing corresponds to encoding the conceptual structure into a concrete structure. Conversely, the concrete structure of the document is decoded into its conceptual one in document processing. In this paper, conceptual and concrete structures are introduced. A complete system for treating both of the conceptual and concrete structures is probably still decades away. As the first stage, this study puts some emphasis on concrete structures, for which, geometric, logical, textual, information, textural, and other structures are described.

关键词： Document structure concrete and conceptual structures geometric and logical structures surface and deep structures textual and information structures textural structure

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A sequential method of extracting contour chains from an image

A sequential method of extracting contour chains from an ima...

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International Conference on pattern recognition

作者： N.W. Strathy F. Said C.Y. Suen Centre for Pattern Recognition & Machine Intelligence Concordia Univ. Montreal Que. Canada Centre for Pat. Rec. and Machine Intel GM-606 Concordia University Montreal QUE Canada

An efficient sequential method of tracing contour chains around foreground objects in an image is presented. The image is scanned row by row, extracting the run lengths of each row, determining their connectivity with runs in the preceding row, and incrementally building up contour chains accordingly. The contours are stored in a new list structure that reflects their topological nesting in the image. The organization of this list provides a greater degree of topological information than is provided by other methods.

关键词： Pixel Data mining System testing Image segmentation Data structures Clocks Merging

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Document architecture language (DAL) approach to document processing

Document architecture language (DAL) approach to document pr...

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International Conference on Document Analysis and recognition

作者： C.L. Yu Y.Y. Tang C.Y. Suen Centre for Pattern Recognition and Machine Intelligence Suite GM-606 Concordia University Montreal QUE Canada

An intelligent document processing system which can process unconstrained format-free documents is presented. A new document format definition language called Document Architecture Language (DAL) which can handle both rectangular and irregular blocks is presented. Combined with pattern recognition techniques, DAL can be widely used in document analysis and understanding with very wide scopes including general newspaper articles, editorials, financial forms, advertisements, front page of magazine, etc. Bank cheques are employed as an example.< >

关键词： pattern recognition machine intelligence Image segmentation Text analysis pattern analysis Control systems Image databases Character recognition

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Segmentation of Connected Digits Using Contour Regions and Corner Points

Segmentation of Connected Digits Using Contour Regions and C...

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International Conference on Signal Processing(ICSP’93)

作者： N.W.Strathy AMDG C.Y.Suen A.Krzyzak Centre for Pattern Recognition and Machine Intelligence GM-606 Concordia University 1455 de Maisonneuve Blvd.West MontrealQuebec H3G 1M8Canada

A new method of separating unconstrained touching handwritten digits is proposed.A binary image containing a string of touching digits is scanned to give run length information and contour *** of the outer contour is done in order to find a set of significant contour points(SCPs).The cutting path that separates the leftmost digit from the string is assum ed to pass between some pair of these SCPs therefore a ranking of pairings is done based on heuristic *** experimental results on 300 samples of touching digit strings gave 91%correct segmentation of the leftmost digit.

关键词： SCP image Segmentation of Connected Digits Using Contour Regions and Corner Points

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A SYSTEMATIC EVALUATION OF SKELETONIZATION ALGORITHMS

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International Journal of pattern recognition and Artificial intelligence 1993年第5期7卷 1203-1225页

作者： SEONG-WHAN LEE LOUISA LAM CHING Y. SUEN Department of Computer Science Chungbuk National University San 48 Gaeshindong Cheongju Chungbuk 360–763 Republic of Korea Centre for Pattern Recognition and Machine Intelligence GM-606 Concordia University 1455 de Maisonneuve Blvd. West Montreal Quebec H3G 1M8 Canada

As a result of its central role in the preprocessing of image patterns, or because of its intrinsic appeal, the design of skeletonization algorithms has been a very active research area. However, few attempts have been made to evaluate the performance of different skeletonization algorithms. This paper presents the results of experiments to evaluate the performance of 20 skeletonization algorithms previously published in the literature. These algorithms have been implemented on the SUN 3/60 workstation in C and tested with a large variety of character patterns. A systematic comparison of these algorithms has been made based on the following criteria: reconstructibility, computation speed, similarity to the reference skeleton, quality of the skeleton, connectivity after skeletonization, and the degree of parallelism.

关键词： Performance evaluation of skeletonization algorithms skeleton thinning medial axis transform

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