DocumentCode :
2204116
Title :
Using lexical similarity in handwritten word recognition
Author :
Park, Jaehwa ; Govindaraju, Venu
Author_Institution :
Dept. of Comput. Sci. & Eng., State Univ. of New York, Buffalo, NY, USA
Volume :
2
fYear :
2000
fDate :
2000
Firstpage :
290
Abstract :
Recognition using only visual evidence cannot always be successful due to limitations of information and resources available during training. Considering relation among lexicon entries is sometimes useful for decision making. In this paper we present a method to capture lexical similarity of a lexicon and reliability of a character recognizer which serve to capture the dynamism of the environment. A parameter, lexical similarity, is defined by measuring these two factors as edit distance between lexicon entries and separability of each character´s recognition results. Our experiments show that a utility function considering lexical similarity in a decision stage can enhance the performance of a conventional word recognizer
Keywords :
handwritten character recognition; decision stage; handwritten word recognition; lexical similarity; recognition; training; word recognizer; Character recognition; Engines; Feature extraction; Handwriting recognition; Image recognition; Image segmentation; Prototypes; Shape; Text analysis; Venus;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Vision and Pattern Recognition, 2000. Proceedings. IEEE Conference on
Conference_Location :
Hilton Head Island, SC
ISSN :
1063-6919
Print_ISBN :
0-7695-0662-3
Type :
conf
DOI :
10.1109/CVPR.2000.854813
Filename :
854813
Link To Document :
بازگشت