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Script Identification from Camera-Captured Multi-script Scene Text Components

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Recent Developments in Machine Learning and Data Analytics

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 740))

Abstract

Identification of script from multi-script text components of camera-captured images is an emerging research field. Here, challenges are mainly twofold: (1) typical challenges of camera-captured images like blur, uneven illumination, complex background, etc., and (2) challenges related to shape, size, and orientation of the texts written in different scripts. In this work, an effective set consisting of both shape-based and texture-based features is designed for script classification. An in-house scene text data set comprising 300 text boxes written in three scripts, namely Bangla, Devanagri, and Roman is prepared. Performance of this feature set is associated with five popular classifiers and highest accuracy of 90% is achieved with Multi-layer Perceptron (MLP) classifier, which is reasonably satisfactory considering the domain complexity.

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Acknowledgements

This work is partially supported by the CMATER research laboratory of the Computer Science and Engineering Department, Jadavpur University, India, PURSE-II and UPE-II, project. SB is partially funded by DBT grant (BT/PR16356/BID/7/596/2016) and UGC Research Award (F. 30-31/2016(SA-II)). RS, SB and AFM are partially funded by DST grant (EMR/2016/007213).

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Jadavpur University, Kolkata, India

    Madhuram Jajoo, Neelotpal Chakraborty, Subhadip Basu & Ram Sarkar

  2. Department of Computer Science and Engineering, Aliah University, Kolkata, 700160, India

    Ayatullah Faruk Mollah

Authors
  1. Madhuram Jajoo
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  2. Neelotpal Chakraborty
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  3. Ayatullah Faruk Mollah
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  4. Subhadip Basu
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  5. Ram Sarkar
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Corresponding author

Correspondence to Ram Sarkar .

Editor information

Editors and Affiliations

  1. College of Engineering and Applied Science, University of Colorado Colorado Springs, Colorado Springs, CO, USA

    Jugal Kalita

  2. Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  3. Department of Computer Applications, Sikkim Manipal University, Sikkim, India

    Samarjeet Borah

  4. Department of Computer Applications, Sikkim Manipal University, Sikkim, India

    Ratika Pradhan

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Jajoo, M., Chakraborty, N., Mollah, A.F., Basu, S., Sarkar, R. (2019). Script Identification from Camera-Captured Multi-script Scene Text Components. In: Kalita, J., Balas, V., Borah, S., Pradhan, R. (eds) Recent Developments in Machine Learning and Data Analytics. Advances in Intelligent Systems and Computing, vol 740. Springer, Singapore. https://doi.org/10.1007/978-981-13-1280-9_16

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