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Displaying 1-50 out of 89 total
Recognition of Unconstrained Handwritten Numeral Strings by Composite Segmentation Method
Found in: Pattern Recognition, International Conference on
By Kye Kyung Kim, Ching Y. Suen, Jin Ho Kim
Issue Date:September 2000
pp. 2594
This paper describes an efficient scheme of recognizing unconstrained handwritten numeral strings by a composite segmentation method, which combines both recognition-free and recognition-based segmentation methods. A digit group detector has been designed ...
 
An Evaluation of Parallel Thinning Algorithms for Character Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Louisa Lam, Ching Y. Suen
Issue Date:September 1995
pp. 914-919
<p><it>Abstract</it>—Skeletonization algorithms have played an important role in the preprocessing phase of OCR systems. In this paper we report on the performance of 10 recent parallel thinning algorithms from this perspective by gatheri...
 
Analysis and Design of a Decision Tree Based on Entropy Reduction and Its Application to Large Character Set Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Qing Ren Wang,Ching Y. Suen
Issue Date:April 1984
pp. 406-417
Based on a recursive process of reducing the entropy, the general decision tree classifier with overlap has been analyzed. Several theorems have been proposed and proved. When the number of pattern classes is very large, the theorems can reveal both the ad...
 
A New Clustering Method for Improving Plasticity and Stability in Handwritten Character Recognition Systems
Found in: Pattern Recognition, International Conference on
By Javad Sadri, Ching Y. Suen, Tien D. Bui
Issue Date:August 2006
pp. 1130-1133
This paper presents a new online clustering algorithm in order to improve plasticity and stability in handwritten character recognition systems. Our clustering algorithm is able to automatically determine the optimal number of clusters in the input data. A...
 
Cursive word skew/slant corrections based on Radon transform
Found in: Document Analysis and Recognition, International Conference on
By Jian-xiong Dong, Ponson Dominique, Adam Krzyyzak, Ching Y. Suen
Issue Date:September 2005
pp. 478-483
This paper presents two fast and robust algorithms for word skew and slant corrections based on Radon transform. For the skew correction, we maximize a global measure which is defined by Radon transform of image and its gradient to estimate the slope. For ...
 
Optimal Local Weighted Averaging Methods in Contour Smoothing
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Raymond Legault, Ching Y. Suen
Issue Date:August 1997
pp. 801-817
<p><b>Abstract</b>—In several applications where binary contours are used to represent and classify patterns, smoothing must be performed to attenuate noise and quantization error. This is often implemented with local weighted averaging o...
 
Analysis and Recognition of Asian Scripts - the State of the Art
Found in: Document Analysis and Recognition, International Conference on
By Ching Y. Suen, Shunji Mori, Soo H. Kim, Cheung H. Leung
Issue Date:August 2003
pp. 866
This paper summarizes the research activities of the past decade on the recognition of handwritten scripts used in China, Japan, and Korea. It presents the recognition methodologies, features explored, databases used, and classification schemes investigate...
 
Model-Based Character Extraction from Complex Backgrounds
Found in: Document Analysis and Recognition, International Conference on
By Xiangyun Ye, Mohamed Cheriet, Ching Y. Suen
Issue Date:September 1999
pp. 511
This paper proposes a model-based character extraction method. We model a pixel belonging to a character as a double-edge, whose range is defined by the stroke width, and whose intensity is proportional to the local contrast. By extracting such double-edge...
 
A Method for Selecting Constrained Hand-Printed Character Shapes for Machine Recognition
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Rajjan Shinghal,Ching Y. Suen
Issue Date:January 1982
pp. 74-78
Since handwritten characters vary in shape and writing-stroke sequence, it is desirable to develop a standard set of characters that are of high quality, so that not only are they easy to write, but they are also most suitable for machine recognition. A da...
 
Handwriting Recognition - The Last Frontiers
Found in: Pattern Recognition, International Conference on
By Ching Y. Suen, Kyekyung Kim, Qizhi Xu, Jinho Kim, Louisa Lam
Issue Date:September 2000
pp. 4001
The last frontiers of handwriting recognition are considered to have started in the last decade of the second millennium. This paper summarizes (a) the nature of the problem of handwriting recognition, (b) the state of the art of handwriting recognition at...
 
Modified Fractal Signature (MFS): A New Approach to Document Analysis for Automatic Knowledge Acquisition
Found in: IEEE Transactions on Knowledge and Data Engineering
By Yuan Y. Tang, Hong Ma, Dihua Xi, Xiaogang Mao, Ching Y. Suen
Issue Date:September 1997
pp. 747-762
<p><b>Abstract</b>—One of the key technologies related to knowledge and data engineering is the acquisition of knowledge and data in the development and utilization of information system and the strategies to capture new knowledge and dat...
 
A Threshlod Selection Method Based on Multiscale and Graylevel Co-occurrence Matrix Analysis
Found in: Document Analysis and Recognition, International Conference on
By Yun Li, Ching Y. Suen, Mohamed Cheriet
Issue Date:September 2005
pp. 575-579
Noises and complex backgrounds often make the thresholding of degraded document images a difficult job. In this paper, we propose a new threshold selection method to handle severely degraded document images. First, multiscale image description is adopted t...
 
Holistic Urdu Handwritten Word Recognition Using Support Vector Machine
Found in: Pattern Recognition, International Conference on
By Malik Waqas Sagheer, Chun Lei He, Nicola Nobile, Ching Y. Suen
Issue Date:August 2010
pp. 1900-1903
Since the Urdu language has more isolated letters than Arabic and Farsi, a research on Urdu handwritten word is desired. This is a novel approach to use the compound features and a Support Vector Machine (SVM) in offline Urdu word recognition. Due to the c...
 
Recognition and Verification of Unconstrained Handwritten Words
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Alessandro L. Koerich, Robert Sabourin, Ching Y. Suen
Issue Date:October 2005
pp. 1509-1522
This paper presents a novel approach for the verification of the word hypotheses generated by a large vocabulary, offline handwritten word recognition system. Given a word image, the recognition system produces a ranked list of the N-best recognition hypot...
 
Contourlet appearance model for facial age estimation
Found in: Biometrics, International Joint Conference on
By Khoa Luu,Keshav Seshadri,Marios Savvides,Tien D. Bui,Ching Y. Suen
Issue Date:October 2011
pp. 1-8
In this paper we propose a novel Contourlet Appearance Model (CAM) that is more accurate and faster at localizing facial landmarks than Active Appearance Models (AAMs). Our CAM also has the ability to not only extract holistic texture information, as AAMs ...
 
A Novel Handwritten Urdu Word Spotting Based on Connected Components Analysis
Found in: Pattern Recognition, International Conference on
By Malik Waqas Sagheer, Nicola Nobile, Chun Lei He, Ching Y. Suen
Issue Date:August 2010
pp. 2013-2016
We propose a novel word spotting system for Urdu words within handwritten text lines. Spatial information of diacritics is integrated to the detection of the main connected components in candidate words generation. An Urdu word recognition system is effect...
 
Veinerization: A New Shape Description for Flexible Skeletonization
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Marc Pierrot Deseilligny, Georges Stamon, Ching Y. Suen
Issue Date:May 1998
pp. 505-521
<p><b>Abstract</b>—Despite the intuitive interpretation of the skeleton as the
 
Investigating age invariant face recognition based on periocular biometrics
Found in: Biometrics, International Joint Conference on
By Felix Juefei-Xu, Khoa Luu,Marios Savvides,Tien D. Bui,Ching Y. Suen
Issue Date:October 2011
pp. 1-7
In this paper, we will present a novel framework of utilizing periocular region for age invariant face recognition. To obtain age invariant features, we first perform preprocessing schemes, such as pose correction, illumination and periocular region normal...
 
Document skew detection based on the fractal and least squares method
Found in: Document Analysis and Recognition, International Conference on
By Chiu L. Yu, Yuan Y. Tang, Ching Y. Suen
Issue Date:August 1995
pp. 1149
In this paper, a simple and robust algorithm is presented to detect skew in a totally unconstrained document. It can discover the skew angle not only in the whole page of document but also in different document blocks which have their different skew angles...
 
Large Tree Classifier with Heuristic Search and Global Training
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Qing Ren Wang,Ching Y. Suen
Issue Date:January 1987
pp. 91-102
In the tree classifier with top-down search, a global decision is made via a series of local decisions. Although this approach gains in classification efficiency, it also gives rise to error accumulation which can be very harmful when the number of classes...
 
A Segmentation Method for Touching Italic Characters
Found in: Pattern Recognition, International Conference on
By Yun Li, Satoshi Naoi, Mohamed Cheriet, Ching Y. Suen
Issue Date:August 2004
pp. 594-597
Segmentation is an essential part of a recognition system. It is difficult to handle touching characters, especially for italic fonts. We present a method to achieve the accurate segmentation of touching italic characters. It is free of slant correction, s...
 
Error Reduction Based on Error Categorization in Arabic Handwritten Numeral Recognition
Found in: Frontiers in Handwriting Recognition, International Conference on
By Chun Lei He, Ching Y. Suen
Issue Date:November 2010
pp. 463-468
In practical applications, errors should not be treated equally, but conditionally. In this paper, errors are categorized based on different costs in misclassification. Accordingly, the characteristics of the error categorization and the corresponding stra...
 
Pose Estimation Based on Two Images from Different Views
Found in: Applications of Computer Vision, IEEE Workshop on
By Yuxing Mao, Ching Y. Suen, Caixin Sun, Chunhua Feng
Issue Date:February 2007
pp. 9
In this paper, we propose a new approach for face pose estimation based on two images from different views under certain conditions. Using a weak-perspective imaging model, six pose parameters were deduced, with four pairs of feature points properly chosen...
 
A Hybrid Large Vocabulary Handwritten Word Recognition System Using Neural Networks with Hidden Markov Models
Found in: Frontiers in Handwriting Recognition, International Workshop on
By Alessandro L. Koerich, Yann Leydier, Robert Sabourin, Ching Y. Suen
Issue Date:August 2002
pp. 99
In this paper we present a hybrid recognition system that integrates hidden Markov models (HMM) with neural networks (NN) in a probabilistic framework. The input data is processed first by a lexicon-driven word recognizer based on HMMs to generate a list o...
 
Reduction of the Classification Cost Using Hierarchical Classifiers based on the k-NN Rule
Found in: Document Analysis and Recognition, International Conference on
By Xiangyun Ye,Mohamed Cheriet,Ching Y. Suen
Issue Date:September 2001
pp. 0716
Abstract: Although promising results on the combination of character recognizers have been reported recently, the combination strategies can not be readily applied to the recognition of character strings due to m-n correspondence problems caused by segment...
 
A High Performance Hand-printed Numeral Recognition System with Verification Module
Found in: Document Analysis and Recognition, International Conference on
By Jie Zhou, Qiang Gan, Ching Y. Suen
Issue Date:August 1997
pp. 293
This paper describes a high performance off-line system for recognizing hand-printed numerals. An innovative verification module is applied which drastically improves the recognition rate. The approaches used in the modules are described. The importance of...
 
Fast SVM Training Algorithm with Decomposition on Very Large Data Sets
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Jian-xiong Dong, Adam Krzyzak, Ching Y. Suen
Issue Date:April 2005
pp. 603-618
Training a support vector machine on a data set of huge size with thousands of classes is a challenging problem. This paper proposes an efficient algorithm to solve this problem. The key idea is to introduce a parallel optimization step to quickly remove m...
 
Segmenting Document Images Using Diagonal White Runs and Vertical Edges
Found in: Document Analysis and Recognition, International Conference on
By Boulos Waked,Ching Y. Suen,Sabine Bergler
Issue Date:September 2001
pp. 0194
Abstract: 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 t...
 
n-Gram Statistics for Natural Language Understanding and Text Processing
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ching Y. Suen
Issue Date:April 1979
pp. 164-172
n-gram (n = 1 to 5) statistics and other properties of the English language were derived for applications in natural language understanding and text processing. They were computed from a well-known corpus composed of 1 million word samples. Similar propert...
 
The spellex system of speech aids for the blind in computer applications
Found in: Managing Requirements Knowledge, International Workshop on
By Ching Y. Suen, Michael P. Beddoes, James C. Swail
Issue Date:June 1976
pp. 217
No summary available.
   
Arabic Handwritten Text Line Extraction by Applying an Adaptive Mask to Morphological Dilation
Found in: Document Analysis Systems, IAPR International Workshop on
By Muna Khayyat,Louisa Lam,Ching Y. Suen,Fei Yin,Cheng-Lin Liu
Issue Date:March 2012
pp. 100-104
This paper presents a robust method for handwritten text line extraction. We use morphological dilation with a dynamic adaptive mask for line extraction. Line separation occurs because of the repulsion and attraction between connected components. The chara...
 
Fast Two-Level HMM Decoding Algorithm for Large Vocabulary Handwriting Recognition
Found in: Frontiers in Handwriting Recognition, International Workshop on
By Alessandro L. Koerich, Robert Sabourin, Ching Y. Suen
Issue Date:October 2004
pp. 232-237
To support large vocabulary handwriting recognition in standard computer platforms, a fast algorithm for hidden Markov model alignment is necessary. To address this problem, we propose a non-heuristic fast decoding algorithm which is based on hidden Markov...
 
Automatic Segmentation and Recognition System for Handwritten Dates on Canadian Bank Cheques
Found in: Document Analysis and Recognition, International Conference on
By Qizhi Xu, Louisa Lam, Ching Y. Suen
Issue Date:August 2003
pp. 704
This paper describes a system being developed to recognize date information handwritten on Canadian bank cheques. A segmentation based strategy is adopted in this system. In order to achieve high performances in terms of efficiency and reliability, a knowl...
 
Verification of Hierarchical Classifier Results for Handwritten Arabic Word Spotting
Found in: 2013 12th International Conference on Document Analysis and Recognition (ICDAR)
By Muna Khayyat,Louisa Lam,Ching Y. Suen
Issue Date:August 2013
pp. 572-576
Large amounts of handwritten documents have been digitized, and the need to search and index these documents is increasing to make them more accessible. Different word spotting systems have been proposed to search for words for this purpose. Since the prec...
 
Modeling Local Word Spatial Configurations for Near Duplicate Document Image Retrieval
Found in: 2013 12th International Conference on Document Analysis and Recognition (ICDAR)
By Li Liu,Yue Lu,Ching Y. Suen,Jinhua Xu
Issue Date:August 2013
pp. 235-239
The issue of near duplicate document image retrieval is addressed in this paper, which is characterized by not only encoding each individual word in the image but also modeling its local spatial configuration. On representing each word in the image as a st...
 
Improving HMM-Based Keyword Spotting with Character Language Models
Found in: 2013 12th International Conference on Document Analysis and Recognition (ICDAR)
By Andreas Fischer,Volkmar Frinken,Horst Bunke,Ching Y. Suen
Issue Date:August 2013
pp. 506-510
Facing high error rates and slow recognition speed for full text transcription of unconstrained handwriting images, keyword spotting is a promising alternative to locate specific search terms within scanned document images. We have previously proposed a le...
 
Extraction of Serial Numbers on Bank Notes
Found in: 2013 12th International Conference on Document Analysis and Recognition (ICDAR)
By Bo-Yuan Feng,Mingwu Ren,Xu-Yao Zhang,Ching Y. Suen
Issue Date:August 2013
pp. 698-702
The study of RMB (renminbi bank note, the paper currency used in China) serial number recognition draws more and more attention in recent years, for reducing financial crime, improving financial market stability and social security. The accuracy of RMB rec...
 
Retrieval of Envelope Images Using Graph Matching
Found in: Document Analysis and Recognition, International Conference on
By Li Liu,Yue Lu,Ching Y. Suen
Issue Date:September 2011
pp. 99-103
A graph matching approach is proposed to retrieve envelope images from a large image database. First, the graph representation of an envelop image is generated based on the image segmentation results, in which each node corresponds to one segmented region....
 
Discovering Legible Chinese Typefaces for Reading Digital Documents
Found in: Document Analysis and Recognition, International Conference on
By Bing Zhang,Ying Li,Ching Y. Suen,Xuemin Zhang
Issue Date:September 2011
pp. 962-966
More and more fonts have sprung up in recent years in digital publishing industry and reading devices. In this paper, we focus on methods of evaluating digital Chinese fonts and their typeface characteristics to seek a good way to enhance the character rec...
 
Ternary Entropy-Based Binarization of Degraded Document Images Using Morphological Operators
Found in: Document Analysis and Recognition, International Conference on
By T. Hoang Ngan Le,Tien D. Bui,Ching Y. Suen
Issue Date:September 2011
pp. 114-118
A vast number of historical and badly degraded document images can be found in libraries, public, and national archives. Due to the complex nature of different artifacts, such poor quality documents are hard to read and to process. In this paper, a novel a...
 
Digit/Symbol Pruning and Verification for Arabic Handwritten Digit/Symbol Spotting
Found in: Document Analysis and Recognition, International Conference on
By Nicola Nobile,Chun Lei He,Malik Waqas Sagheer,Louisa Lam,Ching Y. Suen
Issue Date:September 2011
pp. 648-652
In order to spot the digits in a handwritten document, each component is sent to a classifier. This is a time consuming process because a document usually contains several hundred components. A method is presented to reduce the number of candidate componen...
 
Word Spotting in Gray Scale Handwritten Pashto Documents
Found in: Frontiers in Handwriting Recognition, International Conference on
By Muhammad Ismail Shah, Ching Y. Suen
Issue Date:November 2010
pp. 136-141
In this paper, we present an approach for word spotting in Gray-scale Pashto Documents, written in modified Arabic scripts. Various profile and transitional features are extracted from gray-scale word images. The gray-scale feature vectors are then convert...
 
Applying Error-Correcting Output Coding to Enhance Convolutional Neural Network for Target Detection and Pattern Recognition
Found in: Pattern Recognition, International Conference on
By Huiqun Deng, George Stathopoulos, Ching Y. Suen
Issue Date:August 2010
pp. 4291-4294
This paper views target detection and pattern recognition as a kind of communications problem and applies error-correcting coding to the outputs of a convolutional neural network to improve the accuracy and reliability of detection and recognition of targe...
 
Automatic Discrimination between Confusing Classes with Writing Styles Verification in Arabic Handwritten Numeral Recognition
Found in: Pattern Recognition, International Conference on
By Chun Lei He, Louisa Lam, Ching Y. Suen
Issue Date:August 2010
pp. 2045-2048
In handwriting recognition, confusing/conflicting writing styles can result in irreducible errors, so the study of writing style consistencies is important for applications. In Arabic Handwritten Numeral Recognition, most errors occur between samples of cl...
 
Restoration of a Frontal Illuminated Face Image Based on KPCA
Found in: Pattern Recognition, International Conference on
By Xiaohua Xie, Wei-Shi Zheng, Jian-huang Lai, Ching Y. Suen
Issue Date:August 2010
pp. 2150-2153
In this paper, we propose a novel illumination-normalization method. By using the combination of the Kernel Principal Component Analysis (KPCA) and Pre-image technology, this method can restore the frontal-illuminated face image from a single non-frontal-i...
 
Noise Tolerant Script Identification of Printed Oriental and English Documents Using a Downgraded Pixel Density Feature
Found in: Pattern Recognition, International Conference on
By Ning Wang, Louisa Lam, Ching Y. Suen
Issue Date:August 2010
pp. 2037-2040
Document Script Identification (DSI) is a very useful application in document processing. This paper presents a method for this application that uses a new noise tolerant feature, the Downgraded Pixel Density feature. Compared to other features widely used...
 
Segmentation of Unideal Iris Images Using Game Theory
Found in: Pattern Recognition, International Conference on
By Kaushik Roy, Ching Y. Suen, Prabir Bhattacharya
Issue Date:August 2010
pp. 2844-2847
Robust localization of inner/outer boundary from an iris image plays an important role in iris recognition. However, the conventional iris/pupil localization methods using the region-based segmentation or the gradient-based boundary finding are often hampe...
 
A Novel Rejection Measurement in Handwritten Numeral Recognition Based on Linear Discriminant Analysis
Found in: Document Analysis and Recognition, International Conference on
By Chun Lei He, Louisa Lam, Ching Y. Suen
Issue Date:July 2009
pp. 451-455
This paper presents a Linear Discriminant Analysis based Measurement (LDAM) on the output from classifiers as a criterion to reject the patterns which cannot be classified with high reliability. This is important in applications (such as in processing of f...
 
Error-Correcting Output Coding for the Convolutional Neural Network for Optical Character Recognition
Found in: Document Analysis and Recognition, International Conference on
By Huiqun Deng, George Stathopoulos, Ching Y. Suen
Issue Date:July 2009
pp. 581-585
It is known that convolutional neural networks (CNNs) are efficient for optical character recognition (OCR) and many other visual classification tasks. This paper applies error-correcting output coding (ECOC) to the CNN for segmentation-free OCR such that:...
 
Online Writer-Independent Character Recognition Using a Novel Relational Context Representation
Found in: Machine Learning and Applications, Fourth International Conference on
By Sara Izadi, Ching Y. Suen
Issue Date:December 2008
pp. 867-870
Transforming handwriting into digital text and recognition of handwritten patterns opens a vast scope of application opportunities from searching for handwritten notes and document management to causing actions by writing symbols. Despite receiving a great...
 
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