Handwriting Recognition
Studies in fuzziness and soft computingPublished 1 January 2003
Zhiqiang Liu, Jinhai Cai, Richard Buse
Citations58
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TL;DR
This book introduces several methods for recognising unconstrained handwritten words and digits using hidden Markov models (HMMs) and Markov random field (MRF) models and presents a procdure to model relationships between spectral components using 2-D HMMs, where the spectral features are extracted by Fourier descriptor.
Abstract
Over the last few decades, research on handwriting recognition has made impressive progress. The research and development on handwritten word recognition are to a large degree motivated by many applic
Keywords
Computer Science
Studies in fuzziness and soft computingA Structural and Relational Approach to Handwritten Word Recognition
4 Citations2003Zhi-Qiang Liu, Jinhai Cai +1 more
Studies in fuzziness and soft computingMarkov Random Field Model for Recognizing Handwritten Digits
1 Citations2003Zhi-Qiang Liu, Jinhai Cai +1 more
Markov random field models are multidimensional in nature that allows us to combine both statistical and structural information for pattern recognition.
Studies in fuzziness and soft computingHandwritten Word Recognition Using Fuzzy Logic
1 Citations2003Zhi-Qiang Liu, Jinhai Cai +1 more
This chapter introduces a new holistic approach to handwriting recognition that uses fuzzy logic for handling uncertainties in written words and measuring similarities.