A Medical Knowledge Based Postprocessing Approach for Doctor's Handwriting Recognition

  title={A Medical Knowledge Based Postprocessing Approach for Doctor's Handwriting Recognition},
  author={Qi Chen and T. Gong and Linlin Li and C. Tan and B. Pang},
  journal={2010 12th International Conference on Frontiers in Handwriting Recognition},
  • Qi Chen, T. Gong, +2 authors B. Pang
  • Published 2010
  • Computer Science
  • 2010 12th International Conference on Frontiers in Handwriting Recognition
In this paper, we propose a novel post processing approach for on-line handwriting recognition. Differing from the existing linguistic knowledge-based methods, we make use of domain specific knowledge to improve the performance of recognition. Our system recognizes doctor’s handwriting which often poses great challenges in readability, and then enhances the quality of recognized text by analyzing and restoring the text with a medical knowledge model. We show experiments with this approach on a… Expand
A New Approach to Information Retrieval based on Keyword Spotting from Handwritten Medical Prescriptions
Handwriting recognition of medical prescriptions has been a challenging problem over the recent years with constant research in providing possible accurate solutions. Indecipherable handwrittenExpand
Keyword spotting in doctor's handwriting on medical prescriptions
A word spotting based information retrieval approach for medical prescriptions/reports written by doctors, and an efficient MLP (Multilayer Perceptron) based Tandem feature is proposed to improve the performance. Expand


Handwriting recognition using semantic information
This paper describes the development of techniques that use existing sources of semantic information, such as machine-readable dictionaries and text corpora, to improve the performance of handwriting recognition systems. Expand
Integration of lexical and syntactical knowledge in a handwriting-recognition system
The integration of linguistic information to correct words not recognized by a handwritingrecognition system is shown to be an effective approach, and one that might be worth pursuing. Expand
On-line cursive script recognition: A user-adaptive system for word identification
The last version of the system Adresy dedicated to the recognition of words written on a digitizing tablet achieves a very good performance and improves continuously its performance in a user-transparent way, thanks to a second, faster, learning process called adaptation. Expand
Shape Encoded Post Processing of Gurmukhi OCR
A method for detection and correction of errors in recognition results of handwritten and machine printed Gurmukhi OCR and suggestions are made based on the similarity of the source word with the words of the same code present in dictionary. Expand
Automatic bankcheck processing
Automatic bankcheck processing - a new engineered system, G. Dimauro et al a prototype for Brazilian bankcheck recognition, and an evolutionary approach to the use of neural networks in the segmentation of handwritten numerals. Expand
Handwritten Address Interpretation: A Task of Many Pattern Recognition Problems
  • S. Srihari
  • Computer Science
  • Int. J. Pattern Recognit. Artif. Intell.
  • 2000
A gradation of pattern discrimination problems is encountered in interpreting handwritten postal addresses and the performances of each of the subsystems in a handwritten address interpretation system developed at CEDAR are described. Expand
LipiTk: a generic toolkit for online handwriting recognition
The first version of the Lipi Toolkit, a generic toolkit whose aim is to facilitate development of online handwriting recognition engines for new scripts, and simplify integration of the resulting engines into real-world application contexts is described. Expand
Degraded text recognition using visual and linguistic context
This thesis addresses problems in degraded text recognition and discusses potential solutions through passage-level postprocessing, to develop a postprocessing methodology from a broader perspective. Expand
Experiments in Text Recognition with Binary n-Gram and Viterbi Algorithms
  • J. Hull, S. Srihari
  • Computer Science, Medicine
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 1982
This correspondence describes the underlying theory of each approach in unified terminology, and presents new implementation algorithms for each approach, including a storage efficient data structure for the binary n-gram algorithm and a recursive formulation for the Viterbi algorithm. Expand
A Contextual Postprocessing System for Error Correction Using Binary n-Grams
Various algorithms utilizing context are considered, from a dictionary algorithm which has available the maximum amount of information, to a set of contextual algorithms utilizing positional binary n-gram statistics. Expand