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检索条件"机构=Centre for Pattern Recognition and Machine Intelligence "

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Segmenting document images using diagonal white runs and vertical edges 6

Segmenting document images using diagonal white runs and ver...

引用

6th International Conference on Document Analysis and recognition, ICDAR 2001

作者： Waked, Boulos Suen, Ching Y. Bergler, Sabine Centre for Pattern Recognition and Machine Intelligence Concordia University 1455 de Maisonneuve Blvd. West MontrealQCH3G 1M8 Canada

ISBN: (纸本)0769512631

We introduce a technique based on diagonal white runs and vertical edges, that divides a document image into columns and blocks which are subsequently classified as text or graphics. A diagonal white run (drun) is a set of adjacent white pixels that are diagonally connected, and a vertical edge consists of the white area between two consecutive druns. This technique was designed as a layout independent approach. Testing the proposed approach on document images with 14 different types and layouts, written in different languages, shows comparative and promising results. © 2001 IEEE.

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Parallel character recognition based on regional projection transformation (RPT)

Parallel character recognition based on regional projection ...

引用

International Conference on pattern recognition

作者： Y.Y. Tang C.Y. Suen Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada

Presents a new approach called regional projection transformation (APT) which converts a compound pattern into an integral object. Diagonal-diagonal regional projection transformation (DDRPT), has been described and analyzed. The patterns transformed from this method possesses a couple of important characteristics which facilitate the recognition of compound patterns. Parallel algorithm for the DDRPT has been presented in this paper. It can speed up computation and the recognition process.< >

关键词： Character recognition pattern recognition Neural networks Parallel algorithms Concurrent computing machine intelligence Parallel processing Computer architecture Application software pattern analysis

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Document structures: A survey

Document structures: A survey

引用

International Conference on Document Analysis and recognition

作者： Y.Y. Tang C.Y. Suen Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada

Knowing the structure of a document is the key to successful processing of that document. From different points of view, there exist different definitions for document structures. A survey which contains a collection of many methods of describing document structures is presented. Several novel concepts and theoretical analyses are also presented in this survey.< >

关键词： Concrete Surface structures Publishing Writing pattern recognition Decoding Natural languages machine intelligence Image analysis Image converters

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A fast and efficient correlation calculation method

A fast and efficient correlation calculation method

引用

Canadian Conference on Electrical and Computer Engineering (CCECE)

作者： Bei Li C.Y. Suen Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada

The correlation calculation is a kind of frequency calculation. It has been used in many application fields, such as: image processing and pattern recognition, control and robots, etc. We present a new and highly efficient algorithm. The algorithm, named variable parameter hierarchical discrete correlation (VPHDC), is an extension of HDC. It has some distinguishing features like HDC in its applications, such as efficiency, speed and so on, moreover it is more flexible than HDC, which makes complex correlation calculation fast and efficient. Because the windows can be increased to any size, it can be used for objects of all sizes.< >

关键词： Kernel pattern recognition Image processing Image analysis machine intelligence Frequency Image recognition Robot control Statistics Image segmentation

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Arabic handwritten word spotting using language models

Arabic handwritten word spotting using language models

引用

International Workshop on Frontiers in Handwriting recognition

作者： Muna Khayyat Louisa Lam Ching Y. Suen Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada

With the ever-increasing amounts of published materials being made available, developing efficient means of locating target items has become a subject of significant interest. Among the approaches adopted for this purpose is word spotting, which enables the identification of documents through the use of pertinent keywords. This paper reports on an effective method of word spotting for Arabic handwritten documents that takes into consideration the nature of Arabic handwriting. Parts of Arabic Words (PAWs) form the basic components of this search process, and a hierarchical classifier (consisting of a set of classifiers each trained on a different part of the input pattern) is implemented. For the first time in Arabic word spotting, language models are incorporated into the process of reconstructing words from PAWs. Details of the method and promising experimental results are also presented.

关键词： Databases Image segmentation Testing Writing Hidden Markov models Feature extraction Mathematical model

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A fast and efficient correlation calculation method

A fast and efficient correlation calculation method

引用

1993 Canadian Conference on Electrical and Computer Engineering, CCECE 1993

作者： Li, Bei Suen, C.Y. Centre for Pattern Recognition and Machine Intelligence Concordia University 1550 de Maisonneuve Blvd. West MontrealQCH3G 1M8 Canada

ISBN: (纸本)0780314433

关键词： pattern recognition

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Extraction of peripheral shape features in Chinese character recognition

Extraction of peripheral shape features in Chinese character...

引用

International Conference on pattern recognition

作者： Y.Y. Tang C.Y. Suen Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada

Extraction of a stable and representative set of features is the heart of the design of a pattern recognition system. Knowing the distribution of information on the pixels of a character will be of great assistance to the study of feature extraction. In this paper, an analysis of the distribution of information on the pixels of binarized Chinese characters is presented. From the analysis, it is obvious that the information of a Chinese character tends to concentrate around the peripheries of the character. Several methods to extract peripheral shape features are presented. Some experiments are conducted on Chinese character recognition and the results show the advantages of the peripheral shape features.

关键词： Shape Character recognition Feature extraction Data mining Information analysis pattern recognition Heart Dictionaries Entropy machine intelligence

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Segmentation of handwritten digits using contour features

Segmentation of handwritten digits using contour features

引用

International Conference on Document Analysis and recognition

作者： N.W. Strathy C.Y. Suen A. Krzyzak Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada

A new method of separating touching unconstrained handwritten digits is proposed. A binary image containing a string of touching digits is scanned to give contour chains. The chains are analyzed and subdivided into four kinds of regions: valleys, mountains, holes, and open regions. Individual points of interest in the outer contour are then identified, e.g., points of high curvature. The separating path is assumed to pass between some pair of these significant contour points (SCPs). Nine features of the SCPs are measured and are used to sort the list of all possible pairings of SCPs. Preliminary results show that the correct cut is sorted within the first three choices in 89% of tests.< >

关键词： pattern recognition machine intelligence Testing Humans Algorithm design and analysis Sorting Data mining Image analysis Information analysis

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A new courtesy amount recognition module of a Check Reading System

A new courtesy amount recognition module of a Check Reading ...

引用

International Conference on pattern recognition

作者： Wu Ding Ching Y. Suen Adam Krzyzak Centre for Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada

ISBN: (纸本)9781424421749

A new courtesy amount recognition module of CENPARMIpsilas check reading system (CRS) is proposed in this paper. The module consists of 3 main segments: pre-processing, segmentation and recognition, and post-processing. A new feedback-based segmentation algorithm is adopted for the segmentation task. Besides one individual numeral recognizer for numerals from dasia0psila to dasia9psila, one convolutional neural network(CNN) recognizer for ldquo00rdquo and ldquo000rdquo numeral strings is also integrated into our module for the recognition task. The experimental results on the Quebec Bell Check database show that the recognition rate of the courtesy amount has improved from 41.2% to 74.3%.

关键词： Image segmentation pattern recognition Neural networks Feedback machine intelligence Cellular neural networks Writing Flowcharts Image databases

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A multi-net local learning framework for pattern recognition

A multi-net local learning framework for pattern recognition

引用

International Conference on Document Analysis and recognition

作者： Jian-xiong Dong A. Krzyzak C.Y. Suen Centre Of Pattern Recognition and Machine Intelligence Concordia University Montreal QUE Canada

ISBN: (纸本)0769512631

This paper proposes a general local learning framework to effectively alleviate the complexities of classifier design by means of "divide and conquer" principle and ensemble method. The learning framework consists of quantization layer and ensemble layer. After GLVQ and MLP are applied to the framework, the proposed method is tested on MNIST handwritten digit database. The obtained performance is very promising, an error rate with 0.99%, which is comparable to that of LeNet5, one of the best classifiers on this database. Further, in contrast to LeNet5, our method is especially suitable for a large-scale real-world classification problem.

关键词： pattern recognition Neural networks Databases machine learning Training data Bagging Switches Piecewise linear techniques Piecewise linear approximation machine intelligence

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