|
--- |
|
annotations_creators: |
|
- crowdsourced |
|
language_creators: |
|
- crowdsourced |
|
language: |
|
- en |
|
license: |
|
- unknown |
|
multilinguality: |
|
- monolingual |
|
size_categories: |
|
- 1K<n<10K |
|
task_categories: |
|
- image-classification |
|
pretty_name: Individuality Of Handwriting (CEDAR) |
|
dataset_info: |
|
features: |
|
- name: image |
|
dtype: image |
|
- name: label |
|
dtype: |
|
class_label: |
|
names: |
|
'0': original |
|
'1': forgeries |
|
- name: individual |
|
dtype: uint8 |
|
- name: figure |
|
dtype: uint8 |
|
splits: |
|
- name: train |
|
num_bytes: 195780898.8 |
|
num_examples: 2640 |
|
download_size: 252337526 |
|
dataset_size: 195780898.8 |
|
tags: |
|
- legal |
|
- signatures |
|
- CEDAR |
|
configs: |
|
- config_name: default |
|
data_files: |
|
- split: train |
|
path: data/train-* |
|
--- |
|
|
|
# Individuality Of Handwriting (CEDAR) |
|
|
|
## Dataset Description |
|
|
|
- **Homepage**: https://pubmed.ncbi.nlm.nih.gov/12136998/ |
|
- **Homepage**: https://cedar.buffalo.edu/NIJ/projectinfo.html |
|
|
|
## Abstract |
|
|
|
Motivated by several rulings in United States courts concerning expert testimony in general, and handwriting testimony in particular, we undertook a study to objectively validate the hypothesis that handwriting is individual. |
|
Handwriting samples of 1,500 individuals, representative of the U.S. population with respect to gender, age, ethnic groups, etc., were obtained. |
|
Analyzing differences in handwriting was done by using computer algorithms for extracting features from scanned images of handwriting. |
|
Attributes characteristic of the handwriting were obtained, e.g., line separation, slant, character shapes, etc. |
|
These attributes, which are a subset of attributes used by forensic document examiners (FDEs), were used to quantitatively establish individuality 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 of confidence was established. |
|
The work is a step towards providing scientific support for admitting handwriting evidence in court. |
|
The mathematical approach and the resulting software also have the promise of aiding the FDE. |
|
|
|
Srihari SN, Cha SH, Arora H, Lee S. Individuality of handwriting. J Forensic Sci. 2002 Jul;47(4):856-72. PMID: 12136998. |
|
|
