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A Survey: Handwriting Analysis Software Using Image Preprocessing and Machine Learning

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ICCCE 2021

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 828))

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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.

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© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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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

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  • DOI: https://doi.org/10.1007/978-981-16-7985-8_63

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-16-7984-1

  • Online ISBN: 978-981-16-7985-8

  • eBook Packages: EngineeringEngineering (R0)

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