Ottoman Script Recognition Using Hidden Markov Model
Küçük Resim Yok
Tarih
2006
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
WORLD ACAD SCI, ENG & TECH-WASET
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
In this study, an OCR system for segmentation, feature extraction and recognition of Ottoman Scripts has been developed using handwritten characters. Detection of handwritten characters written by humans is a difficult process. Segmentation and feature extraction stages are based on geometrical feature analysis, followed by the chain code transformation of the main strokes of each character. The output of segmentation is well-defined segments that can be fed into any classification approach. The classes of main strokes are identified through left-right Hidden Markov Model (HMM).
Açıklama
Conference of the World-Academy-of-Science-Engineering-and-Technology -- AUG 25-27, 2006 -- Prague, CZECH REPUBLIC
Anahtar Kelimeler
Chain Code, HMM, Ottoman Script Recognition, OCR
Kaynak
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 14
WoS Q Değeri
N/A
Scopus Q Değeri
Cilt
14
