본문 바로가기
KERD
논문KCI 등재

문서감정 사례에서 한글 자음의 분류에 따른 유형과 사용빈도

Pattern and Frequency of Use according to Hangul Consonants’s Classification in Document Examinatios Cases

0

조회

0

다운로드

1

인용

0

참고문헌

키워드

초록

필적 감정서에서 특이성과 빈도의 가중치가 높은 글자로 선택되어 사용된 글자를 자음별로 구분하였을 때 ‘ㅅ, ㅈ 및 ㅎ’의 자음에서 추출된 세부 특징의 수도 많고 유형별로 구분되는 수도 다양하여 감정에 많이 활용되는 것을 확인하였다. 필적 감정서에 특이성과 빈도의 가중치가 높아 세부특징 글자에 사용된 글자는 1건에서만 나타나는 글자가 82% 정도로 특정한 글자만 가지고 감정을 하는 것은 적합하지 않음을 확인하였다. 한글 자음을 유형별로 1차 및 2차로 세부 분류하고 가중치를 결정한 결과, 자음 ‘ㄷ, ㄹ, ㅂ 및 ㅌ’의 유형만 가중치가 2로 결정되었다. 그리고 나머지는 모두 가중치가 3으로 결정되었으며 추출된 글자 자체가 특이성과 빈도수가 높은 글자를 감정서에 활용한 것이므로 이 같은 결과가 나타난 것을 알 수 있었다.

Abstract

As a lot of handwriting characteristics have been extracted from consonants “ㅅ, ㅈ, and ㅎ” and these consonants can be divided into many types, the weight score of the frequency and uniqueness for the consonants “ㅅ, ㅈ, and ㅎ” have been high, resulting in frequent use of the consonants for handwriting examination. The percentage of a certain letter with high uniqueness and frequency that appeared during a single handwriting examination is 82%, implying that conducting examinations using only 1 letter is unwise. Korean consonants were classified into two groups by the consonant's type and then weight score of each consonant was analyzed. The consonants “ㄷ, ㄹ, ㅂ, and ㅌ” received a weight score of 2 and the rest received a weight score of 3. The analyzed characters themselves, which have high uniqueness and frequency, were utilized in the examination report, resulting in such results.

참고문헌 (18)

  1. L Schomaker, "Automatic Writer Identification Using Connected-Component Contours and Edge-Based Features of Uppercase Western Script", IEEE Trans Patt Ana & Mach Inte, 26, pp.787~798 (2004)
  2. SN Srihari, "Individuality of Handwriting", J Forensic Sci, 47, pp.856~872 (2002)
  3. V Pervouchinea, "Extraction and analysis of forensic document examiner features used for writer identification", Pattern Recognition, 40(3), pp.1004~1013 (2007)
  4. O Tucha, "Attention and movement execution during handwriting", Human Movement Sci, 25(4, pp.5) (2006), 536~552
  5. JO Kwon, "Recognition of on-line cursive Korean characters combining statistical and structural methods", Pattern Recognition, 30(8), pp.1255~1263 (1997)
  6. A Bensefia, "Writer identification by writer's invariants, Frontiers in Handwriting Recognition", 2002. Proceedings. Eighth International Workshop, pp.274~279 (2002)
  7. H Ordway, "Scientific Examination of Questioned Documents" (1993), CRC Press
  8. RA Huber, "Handwriting Identification: Facts and Fundamentals" (1999), CRC Press
  9. L Cecilia, "Handwriting characteristics among secondary students with and without physical disabilities: A study with a computerized tool", Contents lists available at Science Direct, 32, pp.207~216 (2011)
  10. AAM Alkahtani, "A statistical study of the relative difficulty of freehand simulation of form, proportion, and line quality in Arabic signatures", Contents lists available at Science Direct, 50, pp.72~76 (2010)
  11. R Marquis, "Handwriting Evidence Evaluation Based on the Shape of Characters: Application of Multivariate Likelihood Ratios", J Forensic Sci, 56, pp.238~242 (2011)
  12. L Mohammed, "The Dynamic Character of Disguise Behavior for Text-based, Mixed, and Stylized Signatures", J Forensic Sci, 56, pp.136~141 (2011)
  13. AA Brink, "Towards robust writer verification by correcting unnatural slant", Contents lists available at Science Direct, 32, pp.449~457 (2011)
  14. M Bulacu, "Text-Independent Writer Identification and Verification using Textural and Allographic Features", IEEE Trans. on Patt. Ana. and Mach. Inte, 29, pp.701~717 (2007)
  15. S Ling, "A preliminary investigation into handwriting examination by multiple measurements of letters and spacing", Forensic Sci int’l, 126, pp.145~149 (2002)
  16. 김정호, "한글 자음의 운필방법에 따른 희소성", 한국과학수사학회지, 5(3), pp.143~153 (2004)
  17. 노승찬, "한글자음 ‘ㄱ’의 필적계측에 대한 기초연구", 한국분석과학회지, 3(2), pp.153~160 (2009)
  18. 김정호, "SHWI를 이용한 한글서명 계측에 관한연구", 분석과학, 23(2), pp.205~215 (2010), 한국분석과학회

관련 논문AI추천

이 간행물의 다른 논문 (8건)