Skip to main content
Top

2015 | OriginalPaper | Chapter

Studies in Individuality: Can Students, Teachers and Schools Be Determined from Children’s Handwriting?

Authors : Sargur N. Srihari, Gang Chen, Zhen Xu, Lisa Hanson

Published in: Computational Forensics

Publisher: Springer International Publishing

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The individuality of handwriting is the principal underpinning of forensic handwriting examination. Studies of individuality have considered different statistical extremes to obtain handwriting samples. The first is a representative population drawn from a country. The second is a population of twins– so as to reflect genetic similarity. A third approach is to study whether teachers and schools have an influence on individuality. This paper presents preliminary results of individuality studies with data from children’s handwriting, in grades 2–4, to identify the school, teacher and student. Considering the single handwritten word and we evaluate the performances of two methods, one based on feature values assigned by human questioned document examiners and the other based on automatically computing image features. Results are given for determining the school, the teacher and the student from images using restricted Boltzmann machines. Results of identifying the school with human assigned features and support vector machines are also given.

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Literature
1.
go back to reference Hilton, O.: Scientific Examination of Questioned Documents, Revised Edition. CRC Press, New York (1993) Hilton, O.: Scientific Examination of Questioned Documents, Revised Edition. CRC Press, New York (1993)
2.
4.
go back to reference Huber, R.A., Headrick, A.M.: Handwriting Identification: Facts and Fundamentals. CRC Press, Boca Raton (1999)CrossRef Huber, R.A., Headrick, A.M.: Handwriting Identification: Facts and Fundamentals. CRC Press, Boca Raton (1999)CrossRef
5.
go back to reference Kelly, J.S., Lindblom, B.: Scientific Examination of Questioned Documents, 2nd edn. CRC Press, Boca Raton (2006)CrossRef Kelly, J.S., Lindblom, B.: Scientific Examination of Questioned Documents, 2nd edn. CRC Press, Boca Raton (2006)CrossRef
6.
go back to reference Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems (2012) Krizhevsky, A., Sutskever, I., Hinton, G.E.: Imagenet classification with deep convolutional neural networks. In: Advances in Neural Information Processing Systems (2012)
7.
go back to reference Larochelle, H., Bengio, Y.: Classification using discriminative restricted Boltzmann machines. In: Proceedings of the 25th International Conference on Machine Learning, ICML 2008, pp. 536–543. ACM, New York (2008) Larochelle, H., Bengio, Y.: Classification using discriminative restricted Boltzmann machines. In: Proceedings of the 25th International Conference on Machine Learning, ICML 2008, pp. 536–543. ACM, New York (2008)
8.
go back to reference LeCun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., Jackel, L.D.: Backpropagation applied to handwritten Zip Code recognition. Neural Comput. 1(4), 541–551 (1989)CrossRef LeCun, Y., Boser, B., Denker, J.S., Henderson, D., Howard, R.E., Hubbard, W., Jackel, L.D.: Backpropagation applied to handwritten Zip Code recognition. Neural Comput. 1(4), 541–551 (1989)CrossRef
9.
go back to reference Puri, M., Srihari, S.N., Hanson, L.: Probabilistic modeling of children’s handwriting. In: Document Recognition and Retrieval XX. SPIE (2014) Puri, M., Srihari, S.N., Hanson, L.: Probabilistic modeling of children’s handwriting. In: Document Recognition and Retrieval XX. SPIE (2014)
10.
go back to reference Osborn, A.: Questioned Documents. Nelson Hall Pub, Chicago (1929) Osborn, A.: Questioned Documents. Nelson Hall Pub, Chicago (1929)
11.
go back to reference Rashid, S.F., Schambach, M.P., Rottland, J., von der Nüll, S.: Low resolution arabic recognition with multidimensional recurrent neural networks. In: Proceedings of the 4th International Workshop on Multilingual OCR, MOCR 2013, pp. 6:1–6:5. ACM, New York (2013) Rashid, S.F., Schambach, M.P., Rottland, J., von der Nüll, S.: Low resolution arabic recognition with multidimensional recurrent neural networks. In: Proceedings of the 4th International Workshop on Multilingual OCR, MOCR 2013, pp. 6:1–6:5. ACM, New York (2013)
12.
go back to reference Salakhutdinov, R., Mnih, A., Hinton, G.: Restricted Boltzmann machines for collaborative filtering. In: Proceedings of the 24th International Conference on Machine Learning, ICML 2007, pp. 791–798. ACM, New York (2007) Salakhutdinov, R., Mnih, A., Hinton, G.: Restricted Boltzmann machines for collaborative filtering. In: Proceedings of the 24th International Conference on Machine Learning, ICML 2007, pp. 791–798. ACM, New York (2007)
13.
go back to reference Srihari, S.N., Cha, S., Arora, H., Lee, S.: Individuality of handwriting. J. Forensic Sci. 44(4), 856–872 (2002) Srihari, S.N., Cha, S., Arora, H., Lee, S.: Individuality of handwriting. J. Forensic Sci. 44(4), 856–872 (2002)
14.
go back to reference Srihari, S.N., Huang, C., Srinivasan, H.: On the discriminability of the handwriting of twins. J. Forensic Sci. 53(2), 430–446 (2008)CrossRef Srihari, S.N., Huang, C., Srinivasan, H.: On the discriminability of the handwriting of twins. J. Forensic Sci. 53(2), 430–446 (2008)CrossRef
15.
go back to reference Xu, Z., Srihari, S.: Bayesian network structure learning using causality. In: Submitted (2014) Xu, Z., Srihari, S.: Bayesian network structure learning using causality. In: Submitted (2014)
Metadata
Title
Studies in Individuality: Can Students, Teachers and Schools Be Determined from Children’s Handwriting?
Authors
Sargur N. Srihari
Gang Chen
Zhen Xu
Lisa Hanson
Copyright Year
2015
DOI
https://doi.org/10.1007/978-3-319-20125-2_3

Premium Partner