Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition

6-8 Aug. 2002

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  • Proceedings Eighth International Workshop on Frontiers in Handwriting Recognition [front matter]

    Publication Year: 2002
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    Freely Available from IEEE
  • A hybrid large vocabulary handwritten word recognition system using neural networks with hidden Markov models

    Publication Year: 2002, Page(s):99 - 104
    Cited by:  Papers (12)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (323 KB) | HTML iconHTML

    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 of the candidate N-best-scoring word hypotheses as well as the segmentation of such word hypotheses into characters. An NN classifier is used to generate a sco... View full abstract»

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  • Handwritten document retrieval

    Publication Year: 2002, Page(s):233 - 238
    Cited by:  Papers (7)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (309 KB) | HTML iconHTML

    This paper investigates the use of both typed and handwritten queries to retrieve handwritten documents. The recognition-based approach reported here is novel in that it expands documents in a fashion analogous to query expansion: Individual documents are expanded using N-best lists which embody additional statistical information from a hidden Markov model (HMM) based handwriting recognizer used t... View full abstract»

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  • Analysis of stability in hand-written dynamic signatures

    Publication Year: 2002, Page(s):259 - 263
    Cited by:  Papers (23)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (236 KB) | HTML iconHTML

    This paper presents a new technique to evaluate the local stability in hand-written dynamic signatures and use the results to improve the process of automated signature verification. The experimental results points out the usefulness of integrating stability, information into the signature verification process. View full abstract»

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  • Writer adaptation techniques in off-line cursive word recognition

    Publication Year: 2002, Page(s):287 - 291
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (294 KB) | HTML iconHTML

    This work presents the application of HMM adaptation techniques to the problem of off-line cursive script recognition. Instead of training a new model for each writer one first creates a unique model with a mixed database and then adapts it for each different writer using his own small dataset. Experiments on a publicly available benchmark database show that an adapted system has an accuracy highe... View full abstract»

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  • Writers authentication and fractal compression

    Publication Year: 2002, Page(s):434 - 439
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (330 KB) | HTML iconHTML

    In this paper we propose a new approach that allows authenticating a writer. To achieve this goal the autosimilarity properties in writings are used, that is to say we are extracting some invariant pieces of the writing, invariant patterns that are characterizing the texts of a writer. From a practical point of view, these invariant shapes are determined by adaptation of techniques that have been ... View full abstract»

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  • MOrpho-LEXical analysis for correcting OCR-generated Arabic words (MOLEX)

    Publication Year: 2002, Page(s):461 - 466
    Cited by:  Papers (6)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (1031 KB) | HTML iconHTML

    In this paper we present a contextual-based method for correcting Arabic words generated by OCR systems. This technique operates as a post-processor and it wants to be universal. It corrects substitution and rejection errors. The Arabic language properties are very useful in morpho-lexical analysis and therefore they are strongly exploited in the development of the method. The substitution errors,... View full abstract»

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  • Author index

    Publication Year: 2002, Page(s):529 - 530
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    Freely Available from IEEE
  • Confidence modeling for verification post-processing for handwriting recognition

    Publication Year: 2002, Page(s):30 - 35
    Cited by:  Papers (7)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (434 KB) | HTML iconHTML

    We apply confidence-scoring techniques to verify the output of a handwriting recognizer. We evaluate a variety of scoring functions, including likelihood ratios and estimated posterior probabilities of correctness, in a postprocessing mode to generate confidence scores at the character or word level. Using the post-processor in conjunction with an HMM-based on-line handwriting recognizer for large... View full abstract»

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  • Rejection measures for handwriting sentence recognition

    Publication Year: 2002, Page(s):24 - 29
    Cited by:  Papers (10)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (352 KB) | HTML iconHTML

    In this paper we study the use of confidence measures for an on-line handwriting recognizer. We investigate various confidence measures and their integration in an isolated word recognition system as well as in a sentence recognition system. In isolated word recognition tasks, the rejection mechanism is designed in order to reject the outputs of the recognizer that are possibly wrong, which is the... View full abstract»

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  • Multidimensional multistage k-NN classifiers for handwritten digit recognition

    Publication Year: 2002, Page(s):19 - 23
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (245 KB) | HTML iconHTML

    This paper analyses the application of multistage classifiers based on the k-NN rule to the automatic classification of handwritten digits. The discriminating capacity of a k-NN classifier increases as the size and dimensionality of the reference pattern set (RPS) increases. This supposes a problem for k-NN classifiers in real applications: the high computational cost required. In order to acceler... View full abstract»

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  • A fast algorithm for finding k-nearest neighbors with non-metric dissimilarity

    Publication Year: 2002, Page(s):13 - 18
    Cited by:  Papers (3)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (313 KB) | HTML iconHTML

    Fast nearest neighbor (NN) finding has been extensively studied. While some fast NN algorithms using metrics rely on the essential properties of metric spaces, the others using non-metric measures fail for large-size templates. However in some applications with very large size templates, the best performance is achieved by NN methods based on the dissimilarity measures resulting in a special space... View full abstract»

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  • Clustering writing styles with a self-organizing map

    Publication Year: 2002, Page(s):345 - 350
    Cited by:  Papers (4)  |  Patents (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (716 KB) | HTML iconHTML

    This work shows how a self-organizing map (SOM) can be applied in the analysis of different handwriting styles. The handwriting samples analyzed have been collected in online fashion with special writing equipments such as pressure sensitive tablets. The handwriting style of an individual subject is represented by a vector components of which reflect the tendencies of the writer to use certain pro... View full abstract»

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  • Confident assessment of children's handwritten responses

    Publication Year: 2002, Page(s):508 - 512
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (341 KB) | HTML iconHTML

    This paper introduces a novel approach for the automatic assessment of children's responses to standardised English exam questions. The constrained nature of the question and answer medium is exploited to produce an automatic assessment mechanism that is both highly accurate and produces a reasonable level of response yield. It is shown that the novel approach can achieve 100% scoring accuracy on ... View full abstract»

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  • On-line handwriting recognition using character bigram match vectors

    Publication Year: 2002, Page(s):67 - 71
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (304 KB) | HTML iconHTML

    Describes an adaptive, partial-word-level, writer,dependent, handwriting recognition system that utilizes the character n-gram statistics of the English language. The system exploits the linguistic property that very few pairs of English words share exactly the same set of character bigrams. This property is used to bring linguistic context to the recognition stage. The recognition is based on, es... View full abstract»

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  • "Schurmann-polynomials - roots and offsprings": Their impact on today's pattern recognition

    Publication Year: 2002, Page(s):3 - 9
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (265 KB) | HTML iconHTML

    Jurgen Schurmann died on January 19, 2001, much too early, at the age of 66 years. He was a grand pioneer in the field of pattern recognition and a tireless source and trigger of sophisticated theoretical ideas and their transformations into high performance recognition products which are spread all over the world. For this reason, the programme committee of the 2002 "International Workshop on Fro... View full abstract»

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  • An algorithm for online strokes verification of Chinese characters using discrete features

    Publication Year: 2002, Page(s):339 - 344
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (920 KB) | HTML iconHTML

    Existing Chinese educational software tools teach the students at the primary or kindergarten levels the stroke movements and stroke order of each Chinese character by animating the individual strokes of the whole character, one stroke at a time. In this paper the author presents an algorithm which allows the student to hand-write a specified character online through the computer, and which checks... View full abstract»

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  • Off-line handwritten Arabic character segmentation algorithm: ACSA

    Publication Year: 2002, Page(s):452 - 457
    Cited by:  Papers (29)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (754 KB) | HTML iconHTML

    Character segmentation is a necessary preprocessing step for character recognition in many OCR systems. It is an important step because incorrectly segmented characters are unlikely to be recognized correctly. The most difficult case in character segmentation is the cursive script. The scripted nature of Arabic written language poses some high challenges for automatic character segmentation and re... View full abstract»

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  • A comparative study on mirror image learning and ALSM

    Publication Year: 2002, Page(s):151 - 156
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (750 KB) | HTML iconHTML

    In this paper, the effectiveness of a corrective learning algorithm MIL (mirror image learning) is comparatively studied with that of ALSM (average learning subspace method). Both MIL and ALSM were proposed to improve the learning effectiveness of class conditional distributions. While the ALSM modifies the basis vectors of a subspace by subtracting the autocorrelation matrix for counter classes f... View full abstract»

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  • Combination of local and global vision modelling for Arabic handwritten words recognition

    Publication Year: 2002, Page(s):128 - 135
    Cited by:  Papers (17)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (465 KB) | HTML iconHTML

    We propose an Arabic handwritten word recognition system based on the idea of the PERCEPTRO system developed by Cote (Cote et al. (1998)) for Latin word recognition. It is a specific neural network, named transparent neural network, combining a global and a local vision modeling (GVM-LVM) of the word. In the forward propagation movement, the former (GVM) proposes a list of structural features char... View full abstract»

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  • DP matching using Kalman filter as pre-processing in on-line signature verification

    Publication Year: 2002, Page(s):502 - 507
    Cited by:  Papers (2)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (496 KB) | HTML iconHTML

    This paper proposes the point-wise matching method which is to be used as the pre-processing in online signature verification using only the positional information. After this pre-processing, various dynamical or local features of the signature can be used in verification. The test signature and the model one are to be matched point-wise by applying time-variant linear transformation. Kalman filte... View full abstract»

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  • Class-confidence critic combining

    Publication Year: 2002, Page(s):201 - 206
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (400 KB) | HTML iconHTML

    This paper discusses a combination of two techniques for improving the recognition accuracy of on-line handwritten character recognition: committee classification and adaptation to the user. A novel adaptive committee structure, namely the class-confidence critic combination (CCCC) scheme, is presented and evaluated. It is shown to be able to improve significantly on its member classifiers. Also t... View full abstract»

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  • Minimum classification error training for online handwritten word recognition

    Publication Year: 2002, Page(s):61 - 66
    Cited by:  Papers (5)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (293 KB) | HTML iconHTML

    We describe an application of the minimum classification error (MCE) training criterion to online unconstrained-style word recognition. The described system uses allograph-HMMs to handle writer variability. The result, on vocabularies of 5k to 10k, shows that MCE training achieves around 17% word error rate reduction when compared to the baseline maximum likelihood system. View full abstract»

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  • Hidden loop recovery for handwriting recognition

    Publication Year: 2002, Page(s):375 - 380
    Cited by:  Papers (4)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (439 KB) | HTML iconHTML

    One significant challenge in the recognition of off-line handwriting is in the interpretation of loop structures. Although this information is readily available in online representation, close proximity of strokes often merges their centers making them difficult to identify. In this paper a novel approach to the recovery of hidden loops in off-line scanned document images is presented. The propose... View full abstract»

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  • Recognition of handwritten month words on bank cheques

    Publication Year: 2002, Page(s):111 - 116
    Cited by:  Papers (1)
    Request permission for commercial reuse | Click to expandAbstract | PDF file iconPDF (279 KB) | HTML iconHTML

    This paper describes an off-line system which recognizes unconstrained handwritten month words extracted from Canadian bank cheques. A segmentation based grapheme level HMM (hidden Markov model) classifier and two multilayer perceptron classifiers with different architectures and different features have been developed in CENPARMI for the recognition of month words. In this paper, a combination met... View full abstract»

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