A lexicon driven approach to handwritten word recognition for real-time applications
Gyeonghwan Kim,Venu Govindaraju +1 more
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Experimental results prove that the approach using the variable duration outperforms the method using fixed duration in terms of both accuracy and speed.Abstract:
A fast method of handwritten word recognition suitable for real time applications is presented in this paper. Preprocessing, segmentation and feature extraction are implemented using a chain code representation of the word contour. Dynamic matching between characters of a lexicon entry and segment(s) of the input word image is used to rank the lexicon entries in order of best match. Variable duration for each character is defined and used during the matching. Experimental results prove that our approach using the variable duration outperforms the method using fixed duration in terms of both accuracy and speed. Speed of the entire recognition process is about 200 msec on a single SPARC-10 platform and the recognition accuracy is 96.8 percent are achieved for lexicon size of 10, on a database of postal words captured at 212 dpi.read more
Citations
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Online and off-line handwriting recognition: a comprehensive survey
TL;DR: The nature of handwritten language, how it is transduced into electronic data, and the basic concepts behind written language recognition algorithms are described.
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An overview of character recognition focused on off-line handwriting
TL;DR: The historical evolution of CR systems is presented, the available CR techniques, with their superiorities and weaknesses, are reviewed and directions for future research are suggested.
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Individuality of handwriting.
TL;DR: In this article, the authors used computer algorithms for extracting features from scanned images of handwriting, e.g., line separation, slant, character shapes, etc., to quantitatively establish individuality by using machine learning approaches.
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A survey on off-line Cursive Word recognition
TL;DR: This survey is divided into two parts, the first one dealing with the general aspects of Cursive Word Recognition, the second one focusing on the applications presented in the literature.
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Off-Line Arabic Character Recognition --- A Review
TL;DR: This review is organised into five major sections, covering a general overview, Arabic writing characteristics, Arabic text recognition system, Arabic OCR software and conclusions.
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