Welcome to the InfoSci Platform
Handwritten Documents Validation Using Pattern Recognition and Transfer Learning

Handwritten Documents Validation Using Pattern Recognition and Transfer Learning

Jadli Aissam, Mustapha Hain, Adil Chergui
Copyright: © 2022 |Volume: 17 |Issue: 5 |Pages: 13
ISSN: 1548-1093|EISSN: 1548-1107|EISBN13: 9781799893547|DOI: 10.4018/IJWLTT.20220901.oa1
Cite Article Cite Article

MLA

Aissam, Jadli, et al. "Handwritten Documents Validation Using Pattern Recognition and Transfer Learning." IJWLTT vol.17, no.5 2022: pp.1-13. http://doi.org/10.4018/IJWLTT.20220901.oa1

APA

Aissam, J., Hain, M., & Chergui, A. (2022). Handwritten Documents Validation Using Pattern Recognition and Transfer Learning. International Journal of Web-Based Learning and Teaching Technologies (IJWLTT), 17(5), 1-13. http://doi.org/10.4018/IJWLTT.20220901.oa1

Chicago

Aissam, Jadli, Mustapha Hain, and Adil Chergui. "Handwritten Documents Validation Using Pattern Recognition and Transfer Learning," International Journal of Web-Based Learning and Teaching Technologies (IJWLTT) 17, no.5: 1-13. http://doi.org/10.4018/IJWLTT.20220901.oa1

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

Handwritten documents in an Enterprise Resource Planning (ERP) system can come from different sources and usually have different designs, sizes, and subjects (i.e. bills, checks, invoices, etc.). Given these documents were filled manually, they have to be inspected to detect various kinds of issues (missing signature or stamp, missing name, etc.) before being saved in the ERP system or processed by an OCR engine. In this paper, the authors present a transfer learning approach to detect issues in scanned handwritten documents, using an award-winning deep convolutional neural network (InceptionV3) and different machine learning algorithms such as Logistic Regression (LR), Support Vector Machine (SVM) and Naive Bayes (NB). The experiment shows that the combination of InceptionV3 and LR got an accuracy of 91.8% for missing stamp detection. This can allow using this approach in an ERP system as an automatic verification procedure in a document processing flow.