A Character-Based Postprocessing System for Handwritten Japanese Address Recognition
スポンサーリンク
概要
- 論文の詳細を見る
Based on a previous work on handwritten Japanese kanji character recognition, a postprocessing system for handwritten Japanese address recognition is proposed. Basically, the recognition system is composed of CombNET-II, a general-purpose large-scale character recognizer and MMVA, a modified majority voting system. Beginning with a set of character candidates, produced by a character recognizer for each character that composes the input word and a lexicon, an interpretation to the input word is generated. MMVA is used in the postprocessing stage to select the interpretation that accumulates the highest score. In the case of more than one possible interpretation, the Conflict Analyzing System calls the character recognizer again to generate scores for each character that composes each interpretation to determine the final output word. The proposed word recognition system was tested with 2 sets of handwritten Japanese city names, and recognition rates higher than 99% were achieved, demonstrating the effectiveness of the method.
- 社団法人電子情報通信学会の論文
- 1999-02-25
著者
-
KUROYANAGI Susumu
Department of Computer Science & Engineering, Nagoya Institute of Technology
-
IWATA Akira
Department of Computer Science & Engineering, Nagoya Institute of Technology
-
Kuroyanagi S
The Department Of Computer Science & Engineering Nagoya Institute Of Technology
-
Iwata Akira
Department Of Electrical And Computer Engineering Nagoya Institute Of Technology
-
YAMANAKA Keiji
Department of Electrical and Computer Engineering, Nagoya Institute of Technology
-
Yamanaka Keiji
Department Of Electrical And Computer Engineering Nagoya Institute Of Technology
関連論文
- CombNET-III with Nonlinear Gating Network and Its Application in Large-Scale Classification Problems
- CombNET-III: A Support Vector Machine Based Large Scale Classifier with Probabilistic Framework(Pattern Recognition)
- Chronic, Traumatic Intraconal Hematic Cyst of the Orbit Removed Through the Fronto-orbital Approach : Case Report
- A Method of an Effective Learning for BP Network from the Data Which Contain Usual or Unusual Data
- A Solution for Imbalanced Training Sets Problem by CombNET-II and Its Application on Fog Forecasting
- Edge Detection Using Neural Network for Non-uniformly llluminated Images
- An Inference of the Human Tastes Evaluation by an Artificial Neural Network
- Thermal Preconditioning Attenuates Exercise-induced Muscle Injury in Mice
- Auditory Pulse Neural Network Model to Extract the Inter-Aural Time and Level Difference for Sound Localization (Special Issue on Neurocomputing)
- A Character-Based Postprocessing System for Handwritten Japanese Address Recognition
- Handwritten Postal Code Recognition by Neural Network : A Comparative Study (Special Issue on Character Recognition and Document Understanding)
- Carbon Dioxide-rich Water Bathing Increases Myonuclear Number and Muscle Fiber Size in Regenerating Skeletal Muscles