Journal ArticleDOI
Offline Chinese handwriting recognition: An assessment of current technology
TLDR
A survey and an assessment of relevant papers appearing in recent publications of relevant conferences and journals are presented, identifying technical approaches that show promise in these areas as well as identifying the leading researchers for the applicable topics.Abstract:
Offline Chinese handwriting recognition (OCHR) is a typically difficult pattern recognition problem. Many authors have presented various approaches to recognizing its different aspects. We present a survey and an assessment of relevant papers appearing in recent publications of relevant conferences and journals, including those appearing in ICDAR, SDIUT, IWFHR, ICPR, PAMI, PR, PRL, SPIEDRR, and IJDAR. The methods are assessed in the sense that we document their technical approaches, strengths, and weaknesses, as well as the data sets on which they were reportedly tested and on which results were generated. We also identify a list of technology gaps with respect to Chinese handwriting recognition and identify technical approaches that show promise in these areas as well as identify the leading researchers for the applicable topics, discussing difficulties associated with any given approach.read more
Citations
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Journal ArticleDOI
Handwritten character recognition using wavelet energy and extreme learning machine
TL;DR: An extremely fast leaning algorithm called ELM for single hidden layer feed forward networks (SLFN), which randomly chooses the input weights and analytically determines the output weights of SLFN, which learns much faster than traditional popular learning algorithms for feed forward neural networks.
Proceedings ArticleDOI
Segmentation-free handwritten Chinese text recognition with LSTM-RNN
Ronaldo Messina,Jérôme Louradour +1 more
TL;DR: Initial results on the use of Multi-Dimensional Long-Short Term Memory Recurrent Neural Networks (MDLSTM-RNN) in recognizing lines of handwritten Chinese text without explicit segmentation of the characters are presented.
Journal ArticleDOI
Handwritten Optical Character Recognition (OCR): A Comprehensive Systematic Literature Review (SLR)
TL;DR: This review article serves the purpose of presenting state of the art results and techniques on OCR and also provide research directions by highlighting research gaps.
Journal ArticleDOI
Off-line recognition of realistic Chinese handwriting using segmentation-free strategy
TL;DR: This paper presents a segmentation-free strategy based on Hidden Markov Model (HMM) to handle off-line recognition of realistic Chinese handwriting, where character segmentation stage is avoided prior to recognition.
Journal ArticleDOI
A novel SVM-based handwritten Tamil character recognition system
N. Shanthi,K. Duraiswamy +1 more
TL;DR: A system for recognizing offline handwritten Tamil characters using support vector machine (SVM) has achieved a very good recognition accuracy of 82.04% on the handwritten Tamil character database.
References
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Journal ArticleDOI
A handwritten character recognition system using directional element feature and asymmetric Mahalanobis distance
TL;DR: A precise system for handwritten Chinese and Japanese character recognition using transformation based on partial inclination detection (TPID) and city block distance with deviation and asymmetric Mahalanobis distance (AMD) are presented.
Journal ArticleDOI
Off-line cursive handwriting recognition using hidden Markov models
TL;DR: A method for the off-line recognition of cursive handwriting based on hidden Markov models (HMMs) is described, which has an average correct recognition rate of over 98% on the word level and in experiments with cooperative writers using two dictionaries of I50 words each.
Journal ArticleDOI
Character segmentation in handwritten words — An overview
Yi Lu,Malayappan Shridhar +1 more
TL;DR: This paper presents an overview on the most important techniques used in segmenting characters from handwritten words, and summarizes the terms and measurements commonly used in handwritten character segmentation.
Proceedings ArticleDOI
Handwritten character recognition using gradient feature and quadratic classifier with multiple discrimination schemes
Hailong Liu,Xiaoqing Ding +1 more
TL;DR: Several state-of-the-art techniques of handwritten character recognition on this baseline system to improve the recognition accuracy are applied and lead to improvement on the character recognition rate.
Journal ArticleDOI
Model-based stroke extraction and matching for handwritten Chinese character recognition
TL;DR: This method is able to obtain reliable stroke correspondence and enable structural interpretation and some structural post-processing operations are applied to improve the stroke correspondence.