Abstract
This paper presents the basic thresholding techniques using Simulink and DSP builder tool for removing the show-through noise from Document images using Altera Cyclone® V FPGA kit. Initially, show-through noise from the document images was removed using the thresholding method in the OpenCV environment and compared the results with the FPGA results. Then, we created a library file for Cyclone® V 5CSEMA5F31C6N series, as board block in DSP builder. We have designed, developed and implemented four methods of thresholding techniques using Simulink and DSP builder. The OpenCV software and Altera DE1-SoC board hardware results were compared qualitatively and quantitatively. DSP builder and Simulink make complex tasks like image processing and reduce the complications in designing the structure of algorithm, which pave the way for hardware co-simulation.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
E. Balamurugan, K. Sangeetha, P. Senguttovelan, Document image analysis-a review. Int. J. Comput. Appl. 1(1) (2011)
S. Akram, M. Dar, A. Quyoum, Document image processing: a review. Int. … 10(5), 35–40 (2010)
D. Doermann, Handbook of Document Image Processing and Recognition ed. by D. Doermann (Karl Tombre, 2014)
A. Farahmand, A. Sarrafzadeh, J. Shanbehzadeh, Document image noises and removal methods. Proc. Int. Multiconf. Eng. Comput. Sci. 1 (2013)
E. Kavallieratou, E. Stamatatos, Improving the quality of degraded document images. Proc. Second Int. Conf. Doc. Image Anal. Libr. Dial 2006, 340–349 (2006)
G. Sharma, Show-through cancellation in scans of duplex printed documents. IEEE Trans. Image Process. 10(5), 736–754 (2001)
R.C. Gonzalez, R.E. Woods, Digital Image Processing, 3rd edn. (Prentice Hall, Upper Saddle River, N.J., 2008)
P. Smith, D.B. Reid, C. Environment, L. Palo, P. Alto, P.L. Smith, Otsu1975 20(1), 62–66 (1979)
Y. Solihin, C.G. Leedham, Integral ratio: a new class of global thresholding techniques for handwriting images. IEEE Trans. Pattern Anal. Mach. Intell. 21(8), 761–768 (1999)
M. Cheriet, J.N. Said, C.Y. Suen, A recursive thresholding technique for image segmentation. IEEE Trans. Image Process. 7(6), 918–921 (1998)
R.D. Lins, M.M. De Almeida, R.B. Bernardino et al., Assessing binarization techniques for document images, in DocEng 2017—Proceedings of the 2017 ACM Symposium on Document Engineering (2017)
W.A. Mustafa, M.M.M. Abdul Kader, Binarization of document images: a comprehensive review. J. Phys. Conf. Ser. (2018)
S.M. Ismail, S.N.H.S. Abdullah, F. Fauzi, Statistical binarization techniques for document image analysis (J. Comput, Sci, 2018), p. 14
DSP Builder Handbook Standart block set, Altera, San Jose, CA (2016). https://www.altera.com/en_US/pdfs/literature/hb/dspb/hb_dspb_std.pdf
DSP Builder for Intel FPGAs Advanced Block Set Handbook. https://www.altera.com/en_US/pdfs/literature/hb/dspb/hb_dspb_adv.pdf
DSP Builder User Guide, Altera, v.5.0.1 (2005). https://www.altera.com/zh_CN/pdfs/literature/ug/ug_dspbuilder.pdf
DSP Builder User Guide, Altera, v.8.1, (2008). http://application-notes.digchip.com/038/38-21577.pdf
Basic Thresholding Operations: https://docs.opencv.org/2.4/doc/tutorials/imgproc/threshold/threshold.html
Acknowledgements
This research work has been financially supported by the University Research Fellowship awarded by the University of Madras. We would like to thank Mr. Raveendranath of Enix Technologies, Chennai for his technical support.
Author information
Authors and Affiliations
Corresponding author
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
Habibunnisha, N., Nedumaran, D. (2022). Hardware-Based Document Image Thresholding Techniques Using DSP Builder and Simulink. In: Chandramohan, S., Venkatesh, B., Sekhar Dash, S., Das, S., Sharmeela, C. (eds) Artificial Intelligence and Evolutionary Computations in Engineering Systems. Advances in Intelligent Systems and Computing, vol 1361. Springer, Singapore. https://doi.org/10.1007/978-981-16-2674-6_16
Download citation
DOI: https://doi.org/10.1007/978-981-16-2674-6_16
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-2673-9
Online ISBN: 978-981-16-2674-6
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)