The Metadata Schema Design and Utility Architecture for Thai Lanna Inscription Collection

Techawut, Churee; Inkeaw, Papangkorn; Chaijaruwanich, Jeerayut; Hutangkura, Trongjai

doi:10.1007/978-3-319-03599-4_19

Cited by 1 publication

(2 citation statements)

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“…Digitization has become a progress in preserving inscriptions, but preservation is not the stopping rule. Processing and recognition has evolved to infer the inscriptions of engraving periods supporting linguists and historians [2]. Thai lamma or Fakkham script inscriptions are mostly found in the temples of Thailand shown in Table 1.1(f).…”

Section: Related Work In the Field Of Deciphering Epigraphymentioning

confidence: 99%

“…Perceptive approach in the automation of Sinhala [4], by segmenting the character using Adobe Photo shop tool and comparing the characters segmented with training data using correlation function. (d) Tamil Inscription [18] (e) Srilankan Inscription [4] (f) Thai Lamma Inscription [2] (g) Greek Inscription [16] (h) Srilankan Script Image [17] (i) Hoysala Inscription [12] Harappan civilization on the Indus river banks used a script which has survived on Seals, Pottery, Temple wall inscriptions, and copper. The script occurs mainly in the sign form having very minimal number of numeral and sign sets ranging up to 400.…”

Section: Related Work In the Field Of Deciphering Epigraphymentioning

confidence: 99%

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A Review on Automation of Ancient Epigraphical Images

Preethi¹,

H.R²

2016

IJDTA

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Inscriptions are the main source of historical study available throughout the world in constricted language. Epigraphy is the study of such inscriptions and the one who reads and understands (epigraphists or epigraphers) are in extinct condition, due to lack of knowledge transfer and interest. New inscriptions are found during excavation and finding expert epigraphers these days is a real challenge. Due to this, Researchers from the digital enhancement domain are actively involved in the decipherment of inscriptions all over the world. Automation Techniques uses Optical character recognition to convert the inscriptions into intelligible language. Currently works are witnessed in the literature survey on the global languages like Greek, Italian, Japanese, Russian, Latin, Iranian and Indian languages like Kannada, Tamil, Devanagari, Brahmi, Hoysala, and Pali. This paper reviews the techniques followed in automation of epigraphical scripts.

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Section: Related Work In the Field Of Deciphering Epigraphymentioning

confidence: 99%