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- W4309355965 abstract "This study focuses on the evolution and development of Manipuri handwritten script recognition using machine- and deep-learning techniques. It becomes a challenging task because there exist many similarities, among the characters of Manipuri script. Certain research is found for other Indian scripts in this field but for Manipuri script, the research is very limited. The original script of Manipur is known as Manipuri Meitei Mayek (MMM), and it originated when Manipur was a kingdom in ancient times. In the early 1980s, MMM was replaced by Bengali script with the introduction of Vaisnavism. After huge effort put by the Manipuris, MMM was officially recognized in 1980 and included in the school curriculum in 2005. Since then, few research are carried out for MMM recognition. In this chapter, an algorithm is developed for recognition of MMM numerals. A deep-learning algorithm based on histogram of oriented gradient (HOG) is designed for purpose of classification. The efficiency of the proposed work is shown by comparing the proposed work with existing algorithms of optical character recognition (OCR) for Manipuri scripts." @default.
- W4309355965 created "2022-11-26" @default.
- W4309355965 creator A5066970292 @default.
- W4309355965 date "2022-11-18" @default.
- W4309355965 modified "2023-09-26" @default.
- W4309355965 title "<scp>Manipuri</scp> Handwritten Script Recognition Using Machine and Deep Learning" @default.
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- W4309355965 doi "https://doi.org/10.1002/9781119861850.ch8" @default.
- W4309355965 hasPublicationYear "2022" @default.
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