Journal ArticleDOI
Off-line handwritten Chinese character recognition as a compound Bayes decision problem
Pak-Kwong Wong,Chorkiri Chan +1 more
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TLDR
A handwritten Chinese character off-line recognizer based on contextual vector quantization (CVQ) of every pixel of an unknown character image has been constructed and the CVQ-based language model is the most effective one upgrading the recognition rate by 10.4 percent on the average.Abstract:
A handwritten Chinese character off-line recognizer based on contextual vector quantization (CVQ) of every pixel of an unknown character image has been constructed. Each template character is represented by a codebook. When an unknown image is matched against a template character, each pixel of the image is quantized according to the associated codebook by considering not just the feature vector observed at each pixel, but those observed at its neighbors and their quantization as well. Structural information such as stroke counts observed at each pixel are captured to form a cellular feature vector. Supporting a vocabulary of 4616 simplified Chinese characters and alphanumeric and punctuation symbols, the writer-independent recognizer has an average recognition rate of 77.2 percent. Three statistical language models for postprocessing have been studied for their effectiveness in upgrading the recognition rate of the system. Among them, the CVQ-based language model is the most effective one upgrading the recognition rate by 10.4 percent on the average.read more
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Journal ArticleDOI
Handwritten Bangla numeral recognition system and its application to postal automation
Ying Wen,Yue Lu,Pengfei Shi +2 more
TL;DR: It has been found that the recognition result achieved by the integrated system is more reliable than that by one method alone.
Journal ArticleDOI
A hierarchical approach to recognition of handwritten Bangla characters
TL;DR: A novel hierarchical approach is presented here for optical character recognition (OCR) of handwritten Bangla words that segments a word image on Matra hierarchy, then recognizes the individual word segments and finally identifies the constituent characters of the word image through intelligent combination of recognition decisions of the associated word segments.
Journal ArticleDOI
A multi-objective approach towards cost effective isolated handwritten Bangla character and digit recognition
TL;DR: A multi-objective region sampling methodology for isolated handwritten Bangla characters and digits recognition has been proposed and an AFS theory based fuzzy logic is utilized to develop a model for combining the pareto-optimal solutions from two multi- objective heuristics algorithms.
Posted Content
Handwritten Bangla Basic and Compound character recognition using MLP and SVM classifier
TL;DR: In this article, a novel approach for recognition of handwritten compound Bangla characters along with the Basic characters of Bangla alphabet is presented, which makes an attempt to identify compound character classes from most frequently to less frequently occurred ones, i.e., in order of importance.
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Handwritten Arabic Numeral Recognition using Deep Learning Neural Networks
TL;DR: A novel algorithm based on deep learning neural networks using appropriate activation function and regularization layer is proposed, which shows significantly improved accuracy compared to the existing Arabic numeral recognition methods.
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Journal ArticleDOI
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