Double-line Calligraphy by Jakugon
- Person
-
作者寂厳
- Date
-
制作年 AD18
- Title
- ジャクゴンヒツニギョウショ
- Collections
- Century Akao Collection
- Depository
- Institute of Oriental Classics (Shido Bunko) Campus Mita
- Ref. number
- AW-CEN-000770-0000
- License
- CC BY Images license
- Creditline
-
慶應義塾(センチュリー赤尾コレクション)
- URL
- Classification
- Art
- AI Tagging
- Handwriting Art Font Slope Artwork
Jakugon (1702-71) was a priest of the Shingon Sect of Buddhism serving at the Hotoji in Bicchu (Okayama Pref.), but spent his later years at the Gyokusenji Temple in Kurashiki (also in Okayama). His name was Ikan and his azana (‘common’ name in adulthood) was Teijo, but he used several pseudonyms such as Shoseki (lit. ‘pine and stone’), Kitei (lit. ‘tortoise hut’) and Tora-Dojin. He started training under the Reverend Chozen of the Fugen-In at 9 years of age and took a tonsure. He deepened his knowledge in Buddhism and other studies by traveling widely, but concentrated on research in Sanskrit. In 1736, when he was 35, Jakugon became Donjaku’s deciple at the Chishaku-In in Kyoto, and finally received an imperial seal certifying him as Singon Sect Daigo-in Ryu. Six years later, he was honored in the ceremony of ‘sprinkling water on the head’ by his master Donjaku at the Haradera Temple of the Izumi Family.The two lines of calligraphy seem to show a poem of Jakugon’s own composition about autumn scenery. Widely-known for his calligraphic skill, Jakugon had studied Chinese classics and developed his own style. The neatly arranged strokes attest to this priest’s extraordinary achievement.
(印「淳□瓊々于々」)雪映空庭月無色風翻乱葉林有声寂厳書(印「為歓」)(印「□□」)
Overview
Rights
Depository and ID
Components
OPEN DATADESIGN
Keio Object Hub makes data on cultural objects open and tries designing various experiences using open data.
Details
Identifiers
- Title (EN)
- Double-line Calligraphy by Jakugon
Physical description
- Weights and quantities
-
Quantity 1幅
As a prototype feature, the Keio Object Hub uses AI (machine learning) to generate keywords for searches and filtering.
For the first launch, Google Cloud's Vision API will be used to analyze the images of each object and automatically generate keywords.