学内ネットワークの構築とその運用

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1 Line and Characer Segmenaion b Piel-Deni Deec Agen Kenhiro OKAMURA* Eugene Gonzale CRUZYauhia SACHO and Yohihiko Hamamoo ** Abrac In handwrien documen proceing em if he accurac of characer egmenaion increae he performance of he whole em will improve. A muli-agen baed mehod uing peel-deni for characer egmenaion ha been preened. In hi mehod he cener poiion of each characer i eimaed before characer egmenaion and he egmenaion i carried ou uing hee poiion. In addiion o hi mehod we inroduce he ne egmenaion and improve he performance of characer egmenaion. Ke word: Documen proceing characer egmenaion Muli-Agen [7] [1][] [3] [4] [5][6] 96.3% 89.4%

2 96.0% a b c % [7] [7] [7] 1 1

3 [8] Y X f 1 G ep g g f G Y X + = + + = = = σ 3 σ. 3c. σ. g a b=4 c= [7] 4

4 a b c a b=4e=13 c=8e=5 d=10e=0 5. E 3. E=0 4. E 0 5 E 5 5bd 5a 1 =10 E 0 5d

5 a =1 b= a 6b 6c 7 8 =1 E = 0 =30 E = 0 7 h

6 } 4 ma { 1 N i h = = σ N 0 h E = 0 h 9 i i i 1 ri ri i l + < α 4 i = c 10d ri ri 1 10 d 10 e f10d 10f 11a 1. r ^ r l. r i ^ r l > β 5 =4 11a5 11b

7 a b c 11 i r 11c 1.5 ^ r l r i d < β 6 d i r 6 r i 1 1

8 [7] A IPTP CD-ROM B IPTP CD-ROM AB AB C mm105mm BC % = [7][8] A A [7] A 4.1% 50.1% A % = % [7] A B A+B A+B +C % [7] A B A+B A+B +C A B C

9 B B B 1.0% a b 13 A B 5.% 50.% A B C A+B A+B+C C A+B+C A+B 1.0% 4.6% [7] 13a A 13b 14a 14b C C A+B C a b 14

10 A+B 3 A+B+C % a b 16 3 C C C 1 C 4 [7] 4 [7] 96.3% 96.0% a 17b 16a a b 17

11 1333 June [4] F. Kimura K.TakahinaS. Turuoka and Y. Miake "Modified Quadraic Dicriminan Funcion and he Appcaion o Chinee Characer Recogniion" IEEE Tran. of Paern Anali and Machine Inelgence Vol.9 no.1 pp [5] C. Liu M. Koga H. Fujiawa "Leicon-Driven Segmenaion and Recogniion of Handwrien Characer Sring for Japanee Addre 89.4%Reading" IEEE Tran. of Paern Anali and 85.7% Machine Inelgence Vol.4 no.11 pp [6] Vol.37No [7] " 96.3% 96.0% PRMU 000-pp [8] " " D Vol.J69-D No.9 pp Sep IPTP CD-ROM [1] " " Vol.76 No.5 pp [] " - -" PRU [3] " "

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