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Title: :  Handwritten Signature Verification System using machine Learning Approach- A Review of Literature
PaperId: :  14036
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 7 Issue 2 2021
DUI:    16.0415/IJARIIE-14036
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Pooja GaikwadMET’s Institute of Engineering, Nashik, INDIA
Kashaf PathanMET’s Institute of Engineering, Nashik, INDIA
Purva PatilMET’s Institute of Engineering, Nashik, INDIA
Laxmi PagareMET’s Institute of Engineering, Nashik, INDIA
Prof. R.P. DahakeMET’s Institute of Engineering, Nashik, INDIA

Abstract

Computer Engineering
Offline handwritten signature, classification, algorithms, artificial intelligence, Random forest classifier.
ABSTRACT Abstract- This system proposes a feasible solution to verify handwritten signatures using various machine learning approaches. The scope has been scaling down to offline signatures which contains static inputs and outputs. Several classification methods such as Multinomial Naive Bayes Classifier (MNBC), Bernoulli Naive Bayes Classifier (BNBC), Logistic Regression Classifier (LRC), Stochastic Gradient Descent Classifier (SGDC), and Random Forest Classifier (RFC) were implemented to identify the most suitable classifier to verify handwritten signatures. The classifiers were pre-trained and tested using a handwritten signature database available for public use available on the Kaggle website. The best performance was obtained from RFC with and accuracy score of more than 0.6. For average, the framework made has been successful in verifying handwritten signature images provided with an extensive precision level.

Citations

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IJARIIE Pooja Gaikwad, Kashaf Pathan, Purva Patil, Laxmi Pagare, and Prof. R.P. Dahake. "Handwritten Signature Verification System using machine Learning Approach- A Review of Literature" International Journal Of Advance Research And Innovative Ideas In Education Volume 7 Issue 2 2021 Page 1328-1332
MLA Pooja Gaikwad, Kashaf Pathan, Purva Patil, Laxmi Pagare, and Prof. R.P. Dahake. "Handwritten Signature Verification System using machine Learning Approach- A Review of Literature." International Journal Of Advance Research And Innovative Ideas In Education 7.2(2021) : 1328-1332.
APA Pooja Gaikwad, Kashaf Pathan, Purva Patil, Laxmi Pagare, & Prof. R.P. Dahake. (2021). Handwritten Signature Verification System using machine Learning Approach- A Review of Literature. International Journal Of Advance Research And Innovative Ideas In Education, 7(2), 1328-1332.
Chicago Pooja Gaikwad, Kashaf Pathan, Purva Patil, Laxmi Pagare, and Prof. R.P. Dahake. "Handwritten Signature Verification System using machine Learning Approach- A Review of Literature." International Journal Of Advance Research And Innovative Ideas In Education 7, no. 2 (2021) : 1328-1332.
Oxford Pooja Gaikwad, Kashaf Pathan, Purva Patil, Laxmi Pagare, and Prof. R.P. Dahake. 'Handwritten Signature Verification System using machine Learning Approach- A Review of Literature', International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, 2021, p. 1328-1332. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Handwritten_Signature_Verification_System_using_machine_Learning_Approach__A_Review_of_Literature_ijariie14036.pdf (Accessed : 17 August 2024).
Harvard Pooja Gaikwad, Kashaf Pathan, Purva Patil, Laxmi Pagare, and Prof. R.P. Dahake. (2021) 'Handwritten Signature Verification System using machine Learning Approach- A Review of Literature', International Journal Of Advance Research And Innovative Ideas In Education, 7(2), pp. 1328-1332IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Handwritten_Signature_Verification_System_using_machine_Learning_Approach__A_Review_of_Literature_ijariie14036.pdf (Accessed : 17 August 2024)
IEEE Pooja Gaikwad, Kashaf Pathan, Purva Patil, Laxmi Pagare, and Prof. R.P. Dahake, "Handwritten Signature Verification System using machine Learning Approach- A Review of Literature," International Journal Of Advance Research And Innovative Ideas In Education, vol. 7, no. 2, pp. 1328-1332, Mar-App 2021. [Online]. Available: https://ijariie.com/AdminUploadPdf/Handwritten_Signature_Verification_System_using_machine_Learning_Approach__A_Review_of_Literature_ijariie14036.pdf [Accessed : 17 August 2024].
Turabian Pooja Gaikwad, Kashaf Pathan, Purva Patil, Laxmi Pagare, and Prof. R.P. Dahake. "Handwritten Signature Verification System using machine Learning Approach- A Review of Literature." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 7 number 2 (17 August 2024).
Vancouver Pooja Gaikwad, Kashaf Pathan, Purva Patil, Laxmi Pagare, and Prof. R.P. Dahake. Handwritten Signature Verification System using machine Learning Approach- A Review of Literature. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2021 [Cited : 17 August 2024]; 7(2) : 1328-1332. Available from: https://ijariie.com/AdminUploadPdf/Handwritten_Signature_Verification_System_using_machine_Learning_Approach__A_Review_of_Literature_ijariie14036.pdf
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