A STRUCTURAL APPROACH TO ON-LINE CHARACTER RECOGNITION: SYSTEM DESIGN AND APPLICATIONS

1991 ◽  
Vol 05 (01n02) ◽  
pp. 311-335 ◽  
Author(s):  
FATHALLAH NOUBOUD ◽  
RÉJEAN PLAMONDON
Keyword(s):  
Character Recognition ◽  
Computation Time ◽  
Experimental Tests ◽  
Recognition System ◽  
Structural Approach ◽  
Chain Code ◽  
String Comparison ◽  
Average Computation Time ◽  
On Line ◽  
A Chain

This paper presents a real-time constraint-free handprinted character recognition system based on a structural approach. After the preprocessing operation, a chain code is extracted to represent the character. The classification is based on the use of a processor dedicated to string comparison. The average computation time to recognize a character is about 0.07 seconds. During the learning step, the user can define any set of characters or symbols to be recognized by the system. Thus there are no constraints on the handprinting. The experimental tests show a high degree of accuracy (96%) for writer-dependent applications. Comparisons with other system and methods are discussed. We also present a comparison between the processor used in this system and the Wagner and Fischer algorithm. Finally, we describe some applications of the system.

scholarly journals A Survey on the Classifiers in On-line Handwritten Uyghur Character Recognition System

2016 ◽  
Vol 9 (3) ◽  
pp. 189-198 ◽  
Author(s):  
Wujiahemaiti Simayi ◽  
Mayire Ibrayim ◽  
Dilmurat Tursun ◽  
Askar Hamdulla
Keyword(s):  
Character Recognition ◽  
Recognition System ◽  
On Line

Design and Realization of On-Line Uyghur Handwritten Character Collection System

2014 ◽  
Vol 989-994 ◽  
pp. 4742-4746
Author(s):  
Halmurat Dilmurat ◽  
Kurban Ubul
Keyword(s):  
Data Collection ◽  
Word Recognition ◽  
Character Recognition ◽  
Recognition System ◽  
Collection System ◽  
System A ◽  
Handwritten Character ◽  
On Line ◽  
Recognition Systems ◽  
Whole Systems

Data collection is the first step in handwritten character recognition systems, and the data quality collected effects the whole systems efficiency. As the necessary subsystem of on-line handwritten character/word recognition system, a Uyghur handwritten character collection system is designed and implemented with Visual C++ based on the nature of Uyghur handwriting. Uyghur handwritings is encoded by 8 direction tendency and stored in extension stroke file. And they are collected based on the content of Text Prompt File. From experimental results, it can be concluded that the handwriting collection system indicates its strong validity and efficiency during the collection of Uyghur handwriting.

AN IMPROVED STRUCTURAL APPROACH FOR AUTOMATED RECOGNITION OF HANDPRINTED CHARACTERS

1991 ◽  
Vol 05 (01n02) ◽  
pp. 97-121 ◽  
Author(s):  
PATRICK SHEN-PEI WANG ◽  
AMAR GUPTA
Keyword(s):  
Pattern Recognition ◽  
Real Time ◽  
Character Recognition ◽  
Line Drawing ◽  
Lower Degree ◽  
Automated Recognition ◽  
Chain Code ◽  
Pattern Recognition Methods ◽  
On Line ◽  
Descriptive Language

This paper examines several line-drawing pattern recognition methods for handwritten character recognition. They are the picture descriptive language (PDL), Berthod and Maroy (BM), extended Freeman's chain code (EFC), error transformation (ET), tree grammar (TG), and array grammar (AG) methods. A new character recognition scheme that uses improved extended octal codes as primitives is introduced. This scheme offers the advantages of handling flexible sizes, orientations, and variations, the need for fewer learning samples, and lower degree of ambiguity. Finally, the simulation of off-line character recognition by the real-time on-line counterpart is investigated.

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