Advances in handwriting recognition
Handwriting recognition or reading? Situation at the dawn of the 3rd millennium / G. Lorette -- On-line hand writing recognition by discrete HMM with fast learning / H. Yasuda, K. Takahashi and T. Matsumoto -- Optimization of training texts for writer-dependent handwriting recognition / J.F. Pitrelli, J. Subrahmonia, M.P. Perrone and K.S. Nathan -- A simple yet robust structural approach for on-line handwritten alphanumeric character recognition / K.-F. Chan and D.-Y Yeung -- Diacritical processing using efficient accounting procedures in a forward search / G. Seni and J. Seybold -- Coherent knowledge source integration through perceptual cycle framework for handwriting recognition / L. Pasquer, E. Anquetil and G. Lorette -- A systematic comparison of advanced modeling techniques for very large vocabulary on-line cursive handwriting recognition / G. Rigoll, A. Kosmala and D. Willett -- Legal amount recognition on French bank checks using a neural network-hidden Markov model hybrid / E. Augustin, O. Baret, D. Price and S. Knerr -- Towards an universal approach to background removal in images of bank checks / K. Franke and M. Koeppen -- A handwritten form reader architecture / C. Cracknell and A.C. Downton -- Error localization and correction in check processing / G. Kaufmann and H. Bunke -- Combining different classifiers and level of knowledge: a first step towards an adaptive recognition system / D. Ollivier, M. Weinfeld and R. Guegan -- A colour classification approach to form dropout / C. Cracknell and A.C. Downton -- A natural learning algorithm based on Hough transform for text lines extraction in handwritten documents / Y. Pu and Z. Shi -- Handwritten word recognition - the approach proved by practice / G. Dzuba, A. Filatov, D. Gershuny and I. Kil -- Architecture for handwritten text recognition systems / G. Kim, V. Govindaraju and S.N. Srihari -- Search algorithms for the recognition of cursive phrases without word segmentation / C. Scagliola -- Handwritten word recognition with contextual hidden Markov models / C. Farouz, M. Gilloux and J.-M. Bertille -- A method for the determination of features used in human reading of cursive handwriting / L. Schomaker and E. Segers -- Towards general cursive script recognition / U.-V. Marti and H. Bunke -- A HMM-based system for recognition of handwritten address words / M. Schiifiler and H. Niemann -- Global methods for stroke segmentation / Y. Nakajima, S. Mori, S. Takegami and S. Sato -- Robust deformable matching for character extraction / K.-W. Cheung, D.-Y. Yeung and R.T. Chin -- Segmenting handwritten character strings in an ICR system / S. Bussi and E. Bruzzone -- An advanced segmentation technique for cursive word recognition / G. Dimauro, S. Impedovo, G. Pirlo and A. Salzo -- Writer adaptive segmentation of handwritten Japanese characters / S. Senda, M. Hamanaka and K. Yamada -- A probabilistic model for candidate selection in recognition of large character set / C.-L Liu and M. Nakagawa -- Modular partially connected neural network via hidden layer coupling for off-line handwritten Hangul recognition / S.-I. Chien, Y.-M. BaekandK.-T. Urn -- Document understanding based on maximum a posteriori probability estimation / T. Akagi and H. Mizutani -- Stroke extraction from handwritten Kanji characters by connecting segments / Y. Okuda and K. Abe -- Automatic evaluation of handwriting qualities for handwritten Hangul database KU-1 / D.-I. Kim and S.-W. Lee -- Recognition of a Handwritten Korean character by combining segments using constraint satisfying graph / Y.-S. Hwang and S.-Y. Bang -- Recovery of temporal information from static images of hangul handwriting based on its structural information / H. Kwak and K. Chung -- Handwritten Korean character recognition based on hierarchical random graph modeling / H.Y. Kim and J.H. Kim
1 Online-Ressource (xii, 587 Seiten) Illustrationen
9789810237158, 9789812797650, 9810237154, 9812797653
1005229221
Erscheint auch als:
On-line handwriting recognition by discrete HMM with fast learning; diacritical processing using efficient accounting procedures in a forward search; a handwritten form reader architecture; combining different classifiers and levels of knowledge - a first step towards an adaptive recognition system; architecture for handwritten text recognition systems; search algorithms for the recognition of cursive phrases without world segmentation; a method for the determination of features used in human reading of cursive handwriting; global methods for stroke segmentation; an advanced segmentation technique for cursive word recognition; document understanding based on maximum a posteriori probability estimation; combining shape matrices and HMMs for hand-drawn pictogram recognition.
"The papers in this special book edition were rigorously selected from the 6th International Workshop on Frontiers in Handwriting Recognition (IWFHR'98) held in Taejon, Korea, in August 12-13, 1998"--Preface