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An Algorithm to Extract Handwriting Feature for Personality Analysis

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Proceedings of International Conference on Wireless Communication

Part of the book series: Lecture Notes on Data Engineering and Communications Technologies ((LNDECT,volume 19))

Abstract

Personality of an individual can be analyzed by their handwriting. Handwriting analysis can quickly reveal such factors as one’s character, emotions, intellect, creativity, social adjustment, your desires, fears, weaknesses, strengths, and sexual appetite among others. Features like the size of one’s handwriting, the slant, and others help in identifying the particular trait associated with the subject. A handwriting analysis report can help you gain insights into one’s own strengths and weaknesses. In this work, we suggest an algorithm to extract one of the features used in graphology, i.e., Tittle over letter i. Image Processing was used for feature extraction using MATLAB.

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Authors and Affiliations

  1. Dwarkadas J. Sanghvi College of Engineering, Mumbai, 400056, India

    Anamika Sen, Harsh Shah & Jessie Lemos

  2. Electronics and Telecommunication Department, SVKM’s, Dwarkadas J. Sanghvi College of Engineering, Vile Parle (W), Mumbai, 400056, India

    Shivani Bhattacharjee

Authors
  1. Anamika Sen
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  2. Harsh Shah
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  3. Jessie Lemos
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  4. Shivani Bhattacharjee
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Corresponding author

Correspondence to Shivani Bhattacharjee .

Editor information

Editors and Affiliations

  1. D J Sanghvi College of Engineering, Mumbai, Maharashtra, India

    Hari Vasudevan

  2. Department of Electronics and Telecommunication Engineering, SVKM’s, D J Sanghvi College of Engineering, Mumbai, Maharashtra, India

    Amit A. Deshmukh

  3. Department of Electronics Engineering, Defence Institute of Advance Technology (DIAT), Pune, Maharashtra, India

    K. P. Ray

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© 2018 Springer Nature Singapore Pte Ltd.

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Sen, A., Shah, H., Lemos, J., Bhattacharjee, S. (2018). An Algorithm to Extract Handwriting Feature for Personality Analysis. In: Vasudevan, H., Deshmukh, A., Ray, K. (eds) Proceedings of International Conference on Wireless Communication . Lecture Notes on Data Engineering and Communications Technologies, vol 19. Springer, Singapore. https://doi.org/10.1007/978-981-10-8339-6_35

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  • DOI: https://doi.org/10.1007/978-981-10-8339-6_35

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-8338-9

  • Online ISBN: 978-981-10-8339-6

  • eBook Packages: EngineeringEngineering (R0)

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