¢Æ ȫäÀÎ½Ä Æ¯Çã

 

¢Ì ȫäÀνĿ¡ °üÇÑ ¿øõƯÇã´Â ´ÙÀ½°ú °°´Ù.
US 4,641,349: Leonard Flom, Aran Safir
US 5,291,560: John G. Daugman(Ä·ºê¸®Áö´ëÇÐ "Computer Vision and Neural Computing Group"±³¼ö)
DaugmanÀÇ È¨ÆäÀÌÁö´Â http://www.cl.cam.ac.uk/users/jgd1000ÀÌ´Ù. 

¢ÌIriscanÀº ȫäÀÎ½Ä ¾Ë°í¸®µë¿¡ °üÇÑ ¹Ì±¹Æ¯Ç㸦 ȹµæÇÏ¿´´Ù.
  ¿µ±¹ÀÇ British Telecommunicationȸ»çµµ ȫäÀνÄÀåºñ¿¡ °üÇÑ Æ¯Ç㸦 ȹµæÇÏ¿´´Ù.
   LG°¡ Ãâ¿øÇÑ È«Ã¤Æ¯ÇãÀÇ Á¾·ù´Â ȫäÀνÄÀåºñ¿¡ °üÇÑ Çϵå¿þ¾î ºÐ¾ßÀÌ´Ù.

¢ÌIriscanÀº ±¹³»¿¡µµ ƯÇã Ãâ¿øÀ» ÇÏ¿´´Ù.

¢ÌÇöÀç ÀÌ È¸»ç´Â 2000³â ¿©¸§Âë¿¡ sensar¶ó´Â ȸ»ç¿Í ÇÕº´ÇÏ¿© "Iridian"À̶ó´Â ȸ»ç¸¦ ¼³¸³ÇÏ¿´´Ù. ȸ»ç ¿î¿µÀº Àü¹® °æ¿µÀÎÀ» Áß½ÉÀ¸·Î ÇÏ¿© º»°ÝÀûÀÎ »ç¾÷È®Àå¿¡ ³ª¼­´Â °ÍÀ¸·Î º¸ÀδÙ. ƯÈ÷ sensar´Â ÀºÇà¿¡ ´ëÇÑ ½Ã½ºÅÛ°ø±Þ ¸¶ÄÉÆà ´É·ÂÀ» °¡Áö°í Àִ ȸ»çÀÌ´Ù. ÇöÀçÀÇ iridianȨÆäÀÌÁö´Â Á¦Ç°¿¡ ´ëÇÏ¿© °£´ÜÇÏ°Ô ¼Ò°³µÇ¾î Àִµ¥, ÇÕº´µÇ±âÀü¿¡´Â ÇöÀ纸´Ù´Â ÀÚ¼¼ÇÑ ÀÚ·á°¡ ³ª¿ÍÀÖ¾ú´Ù.
 

¢Ì´ëÇѹα¹Æ¯Çã
<°ø°³Æ¯Çã: 95-703770> ȫäºÐ¼®¿¡ ±Ù°ÅÇÑ »ý¹°ÃøÁ¤ »ç¶÷½Äº°¹æ¹ý
´«ÀÇ È«Ã¤(iris)ÀÇ »ý¹° ÃøÁ¤ ºÐ¼®(biometric analysis)¿¡ ÀÇÇØ Æ¯Á¤ÀÇ »ç¶÷À» À¯ÀÏÇÏ°Ô ½Äº°ÇÏ´Â ¹æ¹ý¿¡ À־,
-½Äº°ÇÒ »ç¶÷ÀÇ´«ÀÇ ¿µ»óÀ» ȹµæÇÏ´Â ´Ü°è;
-»ó±â ¿µ»ó³»¿¡¼­ ´«ÀÇ È«Ã¤¸¦ ºÐ¸® ¹× Á¤ÀÇÇÏ´Â ´Ü°è;
-»ó±â ȫ並 ºÐ¼®ÇÏ¿© Ç¥½Ã ȫä ÄÚµå(presenting iris code)¸¦ ¹ß»ýÇÏ´Â ´Ü°è;
-»ó±â Ç¥½Ã Äڵ带 ÀÌÀü¿¡ ¹ß»ýµÈ ÂüÁ¶ ȫä ÄÚµå¿Í ºñ±³ÇÏ¿© »ó±â Ç¥½Ã ȫä ÄÚµå¿Í »ó±â ÂüÁ¶ ÄÚµå(reference code)»çÀÌÀÇ À¯»ç¼º(similarity)ÀÇ ÃøÁ¤°ªÀ» ¹ß»ýÇÏ´Â ´Ü°è; ¹× »ó±â À¯»ç¼º ÃøÁ¤°ªÀ» »ó±â ȫä ÄÚµåµéÀÌ µ¿ÀÏÇÑ È«Ã¤·ÎºÎÅÍ »ý±â´ÂÁö ¿©ºÎ¸¦ °áÁ¤ÇÏ´Â °áÁ¤À¸·Î º¯È¯½ÃÅ°´Â´Ü°è¸¦ ±¸ºñÇÑ °ÍÀ» Ư¡À¸·Î ÇÏ´Â »ç¶÷ ½Äº° ¹æ¹ý.


<°ø°³Æ¯Çã:Ư2000-0035840> ȫ俵»óÆ÷ÂøÀåÄ¡ ¹× ȫ俵»ó Æ÷Âø¹æ¹ý 
<°ø°³Æ¯Çã:Ư2000-0016468> °³Àνĺ° ÀåÄ¡ ¹× ¹æ¹ý(1)   
<°ø°³Æ¯Çã:Ư2000-0016469> °³Àνĺ° ÀåÄ¡ ¹× ¹æ¹ý(2)   
<°ø°³Æ¯Çã:Ư2000-0050494> ȫäÀÎ½Ä ½Ã½ºÅÛ      
<°ø°³Æ¯Çã:Ư2000-0002734> ±¤ÇÐ À̹ÌÀú  
<°ø°³Æ¯Çã:Ư2000-0041509> ¿òÁ÷ÀÓ ÀÎ½Ä ½Ã½ºÅÛ ¹× ±×¸¦ ÀÌ¿ëÇÑ È«Ã¤ÀνĽýºÅÛ  
<°ø°³Æ¯Çã:Ư2000-0010053> ¸Á¿øŸÀÔ ¹ÚÇü ÁÜ·»Áî
<°ø°³½Ç¿ë½Å¾È:½Ç1999-0037306> ȫä ÀÎ½Ä ÀåÄ¡   
<µî·ÏƯÇã:10-0244764> ȫäÆÐÅÏ ½Äº°¿¡ ÀÇÇÑ °¡»óÇö½Ç ¼­ºñ½º Á¦°øÀåÄ¡ ¹× ¹æ¹ý     

¢Ì¹Ì±¹Æ¯Çã
* US patent 4,641,349 : Iris recognition system
Methods and apparatus are disclosed for identifying an eye, especially a human eye, on the basis of the visible features of the iris and pupil. The eye is first illuminated until the pupil reaches a predetermined size, at which an image of the iris and pupil is obtained. This image is then compared with stored image information for identification. The stored image information is previously obtained from an eye, the pupil of which was similarly brought to the same predetermined size. The illumination of the iris may include oblique illumination from several positions around the circumference of the iris. The illumination from each position may be relatively monochromatic, so that the resulting shadow will lack the color of the light source at that position, providing better contrast for elevation-depednent features. A system for performing iris recognition may include a processor which controls an illumination control circuit and a camera to obtain images at several predetermined sizes of the pupil.
32°³ÀÇ Ã»±¸Ç×, 12°³µµ¸é

* US patent 5,291,560 : Biometric personal identification system based on iris analysis 
A system for rapid and automatic identification of persons, with very high reliability and confidence levels. The iris of the eye is used an optical fingerprint, having a highly detailed pattern that is unique for each individual and stable over many years. Image analysis algorithms find the iris in a live video image of a person's face, and encode its texture into a compact signature, or "iris code." Iris texture is extracted from the image at multiple scales of analysis by a self-similar set of quadrature (2-D Gabor) bandpass filters defined in a dimensionless polar coordinate system. The sign of the projection of many different parts of the iris onto these multi-scale quadrature filters, determines each bit in an abstract (256-byte) iris code. The degrees-of-freedom in this code are based on the principle forms of variation in a population of irises studied. Because of the universal mathematical format and constant length of the iris codes, comparisons between them are readily implemented by the Exclusive-OR (XOR) logical operation. Pattern recognition is achieved by combining special signal processing methods with statistical decision theory, leading to a statistical test of independence based on a similarity metric (the Hamming distance) that is computed from the XOR of any two iris codes. This measure positively establishes, confirms, or disconfirms, the identity of any individual. It also generates an objective confidence level associated with any such identification decision.
21°³ÀÇ Ã»±¸Ç×, 12°³ÀÇ µµ¸é  


Daugman 

 

´ëÇѹα¹Æ¯Çãû