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ÇѱÛÁ¦¸ñ(Korean Title) |
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¿µ¹®Á¦¸ñ(English Title) |
Design and Implementation of Luo-kuan Recognition Application |
ÀúÀÚ(Author) |
±èÇѽ½
¼±Íºó
°¹Î±¸
·ù±â¼ö
È« ¹Î
Han-Syel Kim
Kwi-Bin Seo
Mingoo Kang
Gee Soo Ryu
Min Hong
±èÇѽ½
¼±Íºó
°¹Î±¸
·ù±â¼ö
È« ¹Î
Han-Syel Kim
Kwi-Bin Seo
Mingoo Kang
Gee Soo Ryu
Min Hong
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¿ø¹®¼ö·Ïó(Citation) |
VOL 19 NO. 01 PP. 0097 ~ 0103 (2018. 02) |
Çѱ۳»¿ë (Korean Abstract) |
´ëºÎºÐÀÇ µ¿¾çÈ ÀÛÇ°¿¡´Â ÀÛ°¡ÀÇ Á¤º¸¸¦ ¾ÐÃà½ÃÄÑ ÇϳªÀÇ ±×¸²À¸·Î Ç¥ÇöÇÑ ³«°üÀÌ Á¸ÀçÇÏ°í ÀÌ·¯ÇÑ ³«°üÀº ÀÛÇ°ÀÇ Á¦¸ñÀ̳ª ÀÛ°¡ÀÇ À̸§ µî ´Ù¾çÇÑ Á¤º¸¸¦ Æ÷ÇÔÇÏ°í ÀÖ´Ù. µû¶ó¼ µ¿¾çȸ¦ ¼öÁýÇϰųª Áñ±â´Â »ç¶÷µé¿¡°Ô ³«°üÀº µ¿¾çÈ¿¡ ´ëÇÑ Áß¿äÇÑ Á¤º¸¸¦ Á¦°øÇÏ´Â ´Ü¼ ¿ªÇÒÀ» ÇÑ´Ù. ÇÏÁö¸¸ ³«°ü¿¡ ÀÖ´Â ±ÛÀÚµéÀº ´ëºÎºÐ ¾î·Á¿î ÇÑÀÚ³ª °£ÀÚ È¤Àº ´Ù¾çÇÑ ¸ð¾çÀ¸·Î º¯ÇüµÇ¾î ÀÖ¾î ÀϹÝÀεéÀÌ ½±°Ô Çؼ®Çϱ⠾î·Á¿î ¹®Á¦Á¡ÀÌ ÀÖ´Ù. º» ³í¹®¿¡¼´Â ³«°üÀÇ Á¤º¸¸¦ ¼Õ½±°Ô È®ÀÎÇÒ ¼ö ÀÖµµ·Ï ¾Èµå·ÎÀÌµå ±â¹ÝÀÇ ³«°ü °Ë»ö ¾ÖÇø®ÄÉÀ̼ÇÀ» °³¹ßÇÏ¿´´Ù. ÇØ´ç ¾ÖÇø®ÄÉÀ̼ÇÀº ÃÔ¿µÇÑ ³«°ü À̹ÌÁö¸¦ ºÐ¼®ÇÏ¿© ¼¹ö¿¡ Àü¼ÛÇØ ¼¹ö ³»ÀÇ µ¥ÀÌÅͺ£À̽º¿¡¼ ÃÔ¿µÇÑ ³«°ü »çÁø°ú °¡Àå À¯»çÇÑ ³«°ü Èĺ¸¿¡ ´ëÇÑ Á¤º¸¸¦ °Ë»öÇÏ´Â ¾Ë°í¸®ÁòÀ» Àû¿ëÇÏ¿´´Ù. ¶ÇÇÑ Á¦¾ÈÇÏ´Â ¾Ë°í¸®ÁòÀÇ ¼º´É ºÐ¼®À» À§Çؼ ÃÔ¿µµÈ ³«°ü »çÁø°ú 170°³ÀÇ ³«°ü µ¥ÀÌÅÍ Èĺ¸ Áß¿¡¼ Á¤È®ÇÏ°Ô ³«°üÀ» ã¾Æ³»´ÂÁö¿¡ ´ëÇÑ ¿©ºÎ¿Í Á¦°øµÇ´Â ³«°üÀÇ ¼øÀ§¸¦ ¹ÙÅÁÀ¸·Î ¾Ë°í¸®ÁòÀÇ Á¤È®µµ¸¦ ºñ±³ ¹× ºÐ¼®ÇÏ¿´´Ù. Á¤È®µµ ºÐ¼® ½ÇÇè °á°ú º» ¾ÖÇø®ÄÉÀ̼ÇÀÇ °Ë»ö ¾Ë°í¸®ÁòÀÇ Á¤È®µµ´Â ¾à 90%·Î È®ÀεǾúÀ¸¸ç ÃßÈÄ ¾Ë°í¸®ÁòÀÇ ÃÖÀûÈ¿Í ¸ÖƼ¾²·¹µù ¾Ë°í¸®ÁòÀÇ º¸¿ÏÀ» ÅëÇØ ºò µ¥ÀÌÅÍ È¯°æ¿¡¼ ÀÚµ¿À¸·Î À̹ÌÁö¸¦ ºÐ¼® ¹× °Ë»ö ÇÏ´Â Ç÷§ÆûÀ¸·ÎÀÇ ¹ßÀüÀÌ °¡´ÉÇÒ °ÍÀ¸·Î ±â´ëÇÑ´Ù.
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¿µ¹®³»¿ë (English Abstract) |
In oriental paintings, there is Luo-kuan that expressed in a single picture by compressing the artist's information. Such Luo-kuan includes various information such as the title of the work or the name of the artist. Therefore, information about Luo-kuan is considered important to those who collect or enjoy oriental paintings. However, most of the letters in the Luo-kuan are difficult kanji, kanzai, or various shapes, so it is difficult for the ordinary people to interpret. In this paper, we developed an Luo-kuan search application to easily check the information of the Luo-kuan. The application uses a search algorithm that analyzes the captured Luo-kuan image and sends it to the server to output information about the Luo-kuan candidates that are most similar to the Luo-kuan images taken from the database in the server. We also compared and analyzed the accuracy of the algorithm based on 170 Luo-kuan data in order to find out the ranking of the Luo-kuan that matched the Luo-kuan among the candidates. Accuracy Analysis Experimental Results The accuracy of the search algorithm of this application is confirmed to be about 90%, and it is anticipated that it will be possible to develop a platform to automatically analyze and search images in a big data environment by supplementing the optimizing algorithm and multi-threading algorithm.
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Å°¿öµå(Keyword) |
³«°ü
¾ÖÇø®ÄÉÀ̼Ç
¿µ»óó¸®
µ¥ÀÌÅͺ£À̽º
¼¹ö
Luo-kuan(ժγ)
Mobile Application
Image processing
³«°ü
¾ÖÇø®ÄÉÀ̼Ç
¿µ»óó¸®
µ¥ÀÌÅͺ£À̽º
¼¹ö
Luo-kuan(ժγ)
Mobile Application
Image processing
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