Abstract
This study is about an application that will perform Handwriting Analysis using Machine Learning. This application aims to input an image of a handwritten text and perform Handwriting Analysis on it to produce a brief report about the writer's personality traits. There are many areas where Handwriting Analysis is required, but it is not possible to consult a professional. This application will be used as a substitute for such situations.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Lemos N, Shah K, Rade R, Shah D (2018) Personality prediction based on handwriting using machine learning. In: International conference on computational techniques, electronics and mechanical systems
Sen A, Shah H (2017) Automated handwriting analysis system using principles of graphology and image processing. In: International conference on innovations in information, embedded and communication systems (ICIIECS), Coimbatore
Varshney A, Puri S. A survey on human personality identification based on handwriting using ANN. In: International conference on inventive systems and control
Fallah B, Khotanlou H (2016) Identify human personality parameters based on handwriting using neural network. In: Artificial intelligence and robotics (IRAOPEN), Qazvin
Djamal EC, Ramdlan SN, Saputra J (2013) Recognition of handwriting based on signature and digit of character using multiple of artificial neural networks in personality identification. In: Information systems international conference (ISICO), 2–4 Dec 2013
Dang S, Kumar M (2014) Mahesh handwriting analysis of human behaviour based on neural network. Int J Adv Res Comput Sci Soft Eng 4(9)
Galbally J, Fierrez J, Martinez-Diaz M (2011) Quality analysis of dynamic signature based on the sigma-lognormal model. In: 2011 international conference on document analysis and recognition
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Pise, R., Phadkar, N., Pulgam, V., Singh, S., Patil, S.D. (2022). A Survey: Handwriting Analysis Software Using Image Preprocessing and Machine Learning. In: Kumar, A., Mozar, S. (eds) ICCCE 2021. Lecture Notes in Electrical Engineering, vol 828. Springer, Singapore. https://doi.org/10.1007/978-981-16-7985-8_63
Download citation
DOI: https://doi.org/10.1007/978-981-16-7985-8_63
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-7984-1
Online ISBN: 978-981-16-7985-8
eBook Packages: EngineeringEngineering (R0)