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Computational Examination of Signatures using Digimizer

Suneet Kumar , Geo Mariyam Joseph1 , Suneet Kumar

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Indian Journal of Forensic Medicine and Pathology 14(2 (Special Issue)):p 341-346, . | DOI: http://dx.doi.org/10.21088/ijfmp.0974.3383.14221.47
How Cite This Article:

Geo Mariyam Joseph. Computational
Examination of Signatures Using
Digimizer. Indian J Forensic Med Pathol.
2021;14(3 Special):341-346
 

Received : N/A         Accepted : N/A          Published : N/A
Abstract

Forensic Document Examination has become more diverse, which require authen ticity or validation in determination of genuiness or non genuiness, to reveal forg--
ery, alteration, addition, deletion, and personal identifcation. Signature identifcation
is a most challenging mission in the feld of forensic questioned document examination. Its aim is to determine forged signatures by matching the unknown signature
with known signature. Signature is a handwritten deception of a person that engraves
on document as a proof of uniqueness. A person’s signature serves as a trademark. It
is generally a person’s most common writing act and such is largely habitual. Signature of a person may be constituted of only letters, or with letters as well as non-letter
patterns, or may be constituted only with non-letter patterns. In this modern computational era, computational approach to handwritten signature is more relevant due to
its accuracy, less time consumption. Tis paper efforts to give computational sofware
used for identifcation of signature samples. Te objective of the study was to identify
the natural variation occur to signature with the help of image analyzing sofware
“Digimizer”. Te efciency of the proposed method is based on results of 100 writers
with 4 signatures of each writer
 

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Authors and Affiliatione

  • Suneet Kumar
    ,
  • Geo Mariyam Joseph1
    ,
  • Suneet Kumar
    ,
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Cite this article

Geo Mariyam Joseph. Computational
Examination of Signatures Using
Digimizer. Indian J Forensic Med Pathol.
2021;14(3 Special):341-346
 

Licence:


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DOI: http://dx.doi.org/10.21088/ijfmp.0974.3383.14221.47
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