Optical recognition of handwritten Chinese characters by hierarchical radical matching method
Identifieur interne : 000756 ( PascalFrancis/Corpus ); précédent : 000755; suivant : 000757Optical recognition of handwritten Chinese characters by hierarchical radical matching method
Auteurs : A. B. Wang ; K. C. FanSource :
- Pattern Recognition [ 0031-3203 ] ; 2001.
Descripteurs français
- Pascal (Inist)
English descriptors
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Abstract
In this paper, a radical-based OCR system for the recognition of handwritten Chinese characters is proposed. In our approach, a recursive hierarchical scheme is developed to perform radical extraction first. Character features and radical features are then extracted for matching. Last, a hierarchical radical matching scheme is devised to identify the radicals embedded in an input Chinese character and recognize the input character accordingly. Experiments for radical extraction are conducted on 1856 characters. The successful rate of radical extraction is 92.5%. The average time for radical extraction is 0.65 second per character. Experiments for matching process are conducted on two sets: training set and testing set, each set includes 900 characters. The overall recognition rate in our experiments is 98.2 and 80.9% (for training set and testing set, respectively). The average recognition time of our hierarchical radical matching scheme is 0.274 s. There are totally 4716 radicals in 1800 characters. In average, one character consists of 2.62 radicals. Each character will match 7.28 radical templates in average. Thus, each radical will match 2.77 radical temples. The experimental results reveal that our proposed method is feasible, flexible, and effective.
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Format Inist (serveur)
NO : | PASCAL 01-0013821 EI |
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ET : | Optical recognition of handwritten Chinese characters by hierarchical radical matching method |
AU : | WANG (A. B.); FAN (K. C.) |
AF : | Private Takming Junior Coll of Commerce/Taïwan (1 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Pattern Recognition; ISSN 0031-3203; Royaume-Uni; Da. 2001; Vol. 34; No. 1; Pp. 15-35; Bibl. 21 Refs. |
LA : | Anglais |
EA : | In this paper, a radical-based OCR system for the recognition of handwritten Chinese characters is proposed. In our approach, a recursive hierarchical scheme is developed to perform radical extraction first. Character features and radical features are then extracted for matching. Last, a hierarchical radical matching scheme is devised to identify the radicals embedded in an input Chinese character and recognize the input character accordingly. Experiments for radical extraction are conducted on 1856 characters. The successful rate of radical extraction is 92.5%. The average time for radical extraction is 0.65 second per character. Experiments for matching process are conducted on two sets: training set and testing set, each set includes 900 characters. The overall recognition rate in our experiments is 98.2 and 80.9% (for training set and testing set, respectively). The average recognition time of our hierarchical radical matching scheme is 0.274 s. There are totally 4716 radicals in 1800 characters. In average, one character consists of 2.62 radicals. Each character will match 7.28 radical templates in average. Thus, each radical will match 2.77 radical temples. The experimental results reveal that our proposed method is feasible, flexible, and effective. |
CC : | 001B40B; 001D02B; 001D02B12; 001D03J03 |
FD : | Théorie; Concordance forme; Jeu caractère; Reconnaissance optique caractère |
ED : | Hierarchical radical matching methods; Theory; Pattern matching; Character sets; Optical character recognition |
LO : | INIST-15220 |
ID : | 01-0013821 |
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Pascal:01-0013821Le document en format XML
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<front><div type="abstract" xml:lang="en">In this paper, a radical-based OCR system for the recognition of handwritten Chinese characters is proposed. In our approach, a recursive hierarchical scheme is developed to perform radical extraction first. Character features and radical features are then extracted for matching. Last, a hierarchical radical matching scheme is devised to identify the radicals embedded in an input Chinese character and recognize the input character accordingly. Experiments for radical extraction are conducted on 1856 characters. The successful rate of radical extraction is 92.5%. The average time for radical extraction is 0.65 second per character. Experiments for matching process are conducted on two sets: training set and testing set, each set includes 900 characters. The overall recognition rate in our experiments is 98.2 and 80.9% (for training set and testing set, respectively). The average recognition time of our hierarchical radical matching scheme is 0.274 s. There are totally 4716 radicals in 1800 characters. In average, one character consists of 2.62 radicals. Each character will match 7.28 radical templates in average. Thus, each radical will match 2.77 radical temples. The experimental results reveal that our proposed method is feasible, flexible, and effective.</div>
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<EA>In this paper, a radical-based OCR system for the recognition of handwritten Chinese characters is proposed. In our approach, a recursive hierarchical scheme is developed to perform radical extraction first. Character features and radical features are then extracted for matching. Last, a hierarchical radical matching scheme is devised to identify the radicals embedded in an input Chinese character and recognize the input character accordingly. Experiments for radical extraction are conducted on 1856 characters. The successful rate of radical extraction is 92.5%. The average time for radical extraction is 0.65 second per character. Experiments for matching process are conducted on two sets: training set and testing set, each set includes 900 characters. The overall recognition rate in our experiments is 98.2 and 80.9% (for training set and testing set, respectively). The average recognition time of our hierarchical radical matching scheme is 0.274 s. There are totally 4716 radicals in 1800 characters. In average, one character consists of 2.62 radicals. Each character will match 7.28 radical templates in average. Thus, each radical will match 2.77 radical temples. The experimental results reveal that our proposed method is feasible, flexible, and effective.</EA>
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