The earliest handwriting recognition approaches date back to the eighties, when the first attempts of automatically recognizing handwritten words were proposed, e.g., in Mori et al. (1984), Burr (1983), or Bozinovic and Srihari (1989). However, it is only in the mid nineties that the domain takes off thanks to two main factors (Vinciarelli, 2002): on one hand, the diffusion of cheap image acqui...

scribble matching, handwriting recognition, pattern recognition Scribble matching is a form of partial handwriting recognition that allows like scribbles to be identified. Three complimentary matching algorithms have been developed that provide in combination a matching rate of 97%. In this paper, we describe the scribble matching problem and the matching algorithms, report experimental results...

A handwriting recognition technique and a handwriting identification technique were combined and applied on anthrax-related handwritten mail. HWAI (Handwritten Address Interpretation) system interprets the address on the anthrax-related letters. The HWAI process can be modified to provide specific alphabet images which can then be used for writer identification. Micro-level feature values from ...

To date, research for Chinese and Japanese character recognition is still preliminary1. Because the number of Kanji, i.e. Chinese characters, is over fifty thousand, it is hard to rely on any general-purpose global model to recognize all Chinese characters. Alternatively, a promising approach is to separate the Chinese characters into several groups. For each group, a local model is developed t...

This paper presents an insight into the state-of-art in handwriting recognition systems and describes the evolution and progress in the field. An in-depth literature survey of Indic script recognition systems for Bangla, Devnagari, Gurumukhi, Kannada, Malayalam, tamil, and Urdu is presented. This study focuses on multitude of feature and classification techniques giving an insight into the effi...

This paper presents a statistical approach for rule-base generation of handwriting recognition. The new proposed method integrates the heuristic feature selection with the statistical evaluation and thus improves the generation speed and the performance of the fuzzy rule-based handwriting recognition system. Fuzzy statistical measures are employed to identify relevant features from a given larg...