An approach to offline handwritten Devanagari word segmentation
Identifieur interne : 000061 ( PascalFrancis/Corpus ); précédent : 000060; suivant : 000062An approach to offline handwritten Devanagari word segmentation
Auteurs : O. V. Ramana Murthy ; M. HanmandluSource :
- International journal of computer applications in technology [ 0952-8091 ] ; 2012.
Descripteurs français
- Pascal (Inist)
English descriptors
- KwdEn :
Abstract
Hindi is very popular language after Mandarin and English. Its script is Devanagari. Although major work is reported on OCR techniques for machine printed Devanagari script, very few works are beginning to report on offline handwritten Devanagari OCR. Particularly, very few works have been reported so far, on segmentation of Devanagari words. This paper paves a step in that direction and open avenues for researchers in that field. A novel segmentation approach is proposed for segmentation of offline handwritten Devanagari words using techniques of Hough transform and connected components. The difficulties for segmentation in Devanagari script and systematic steps to accommodate those difficulties as much as possible have been presented with elaborate results.
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NO : | PASCAL 13-0071293 INIST |
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ET : | An approach to offline handwritten Devanagari word segmentation |
AU : | RAMANA MURTHY (O. V.); HANMANDLU (M.) |
AF : | Department of Electrical Engineering/IIT Delhi/Inde (1 aut., 2 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | International journal of computer applications in technology; ISSN 0952-8091; Suisse; Da. 2012; Vol. 44; No. 4; Pp. 284-292; Bibl. 1/4 p. |
LA : | Anglais |
EA : | Hindi is very popular language after Mandarin and English. Its script is Devanagari. Although major work is reported on OCR techniques for machine printed Devanagari script, very few works are beginning to report on offline handwritten Devanagari OCR. Particularly, very few works have been reported so far, on segmentation of Devanagari words. This paper paves a step in that direction and open avenues for researchers in that field. A novel segmentation approach is proposed for segmentation of offline handwritten Devanagari words using techniques of Hough transform and connected components. The difficulties for segmentation in Devanagari script and systematic steps to accommodate those difficulties as much as possible have been presented with elaborate results. |
CC : | 001D02C04; 001D02C03 |
FD : | Caractère manuscrit; Linguistique; Langage naturel; Reconnaissance caractère; Reconnaissance optique caractère; Typographie; Segmentation; Transformation Hough |
ED : | Manuscript character; Linguistics; Natural language; Character recognition; Optical character recognition; Typography; Segmentation; Hough transformation |
SD : | Carácter manuscrito; Linguística; Lenguaje natural; Reconocimiento carácter; Reconocimento óptico de caracteres; Tipografía; Segmentación; Transformación Hough |
LO : | INIST-27542.354000505462420060 |
ID : | 13-0071293 |
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Pascal:13-0071293Le document en format XML
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<ET>An approach to offline handwritten Devanagari word segmentation</ET>
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<DT>Publication en série; Niveau analytique</DT>
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