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NCJ Number: NCJ 190133     Find in a Library
Title: Individuality of Handwriting
Author(s): Sargur N. Srihari ; Sung-Hyuk Cha ; Hina Arora ; Sangjik Lee
Corporate Author: CEDAR
United States of America
Date Published: 2001
Page Count: 43
Sponsoring Agency: National Institute of Justice
US Department of Justice
Office of Justice Programs
United States of America
Grant Number: 1999-IJ-CX-K010
Sale Source: NCJRS Photocopy Services
Box 6000
Rockville, MD 20849-6000
United States of America

CEDAR
520 Lee Entrance, Suite 202
Amherst, NY 14228-2567
United States of America
Document: PDF 
Type: Report (Study/Research)
Language: English
Country: United States of America
Annotation: Motivated by several rulings in U.S. courts concerning expert testimony in general and handwriting testimony in particular, this research sought to validate objectively the hypothesis that handwriting is individualistic.
Abstract: Handwriting samples were obtained from 1,500 individuals representative of the U.S. population with regard to gender, age, ethnic groups, etc. The analysis of differences in handwriting was done by using computer algorithms for extracting features from scanned images of handwriting. Attributes characteristic of the handwriting were obtained, including line separation, slant, and character shapes. These attributes, which are a subset of attributes used by expert document examiners, were used to establish individuality quantitatively by using machine learning approaches. Using global attributes of handwriting and very few characters in the writing, the ability to determine the writer with a high degree (98 percent) of confidence was established. Concluding that these results are statistically inferable over the entire U.S. population, the study validated the individuality hypothesis with 95-percent confidence. By considering finer features of the handwriting, the researchers believe individuality in handwriting can reach a confidence level near 100 percent. 3 tables and 21 figures
Main Term(s): Science and Technology
Index Term(s): Document analysis ; Handwriting analysis ; Expert witnesses ; NIJ grant-related documents
Note: Dataset may be archived by the NIJ Data Resources Program at the National Archive of Criminal Justice Data
   
  To cite this abstract, use the following link:
https://www.ncjrs.gov/App/Publications/abstract.aspx?ID=190133

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