VHDL implementation of fuzzy based handwriting recognition system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper describes the implementation of fuzzy based Handwriting Recognition (HR) system in VHDL. Key motivation of the design is to reduce computational complexity and performance enhancement. Fuzzy intelligent technique is used to tackle inherent ambiguities in different handwriting recognition. This system is capable of recognizing handwritten characters such as one segment, distinguish characters and symbols. The algorithm of the HR system is developed in Matlab first, followed by Fuzzy perception. The model is extensively tested with different sets of handwriting to verify the correct functionality of the system. The Matlab codes are then translated into VHDL using Quartus II from Altera. Simulation results showed clear evidence that fuzzy based HR system is capable of emulating different human reading. Comparison between simulation results in Matlab and VHDL is presented to validate the developed HR system. Quartus Integrated Synthesis (QIS) is used to synthesize the hardware architecture. The system runs at 4.31 MHz with propagation delay of 231 ns. The developed HR hardware system is applicable in automating document-processing task such as mail sorting, check reading in Personal Digital Assistant (PDA), and tablet PCs etc.

Original languageEnglish
Title of host publicationIEEE International Conference on Semiconductor Electronics, Proceedings, ICSE
Pages161-164
Number of pages4
DOIs
Publication statusPublished - 2010
Event2010 IEEE International Conference on Semiconductor Electronics, ICSE 2010 - Melaka
Duration: 28 Jun 201030 Jun 2010

Other

Other2010 IEEE International Conference on Semiconductor Electronics, ICSE 2010
CityMelaka
Period28/6/1030/6/10

Fingerprint

Computer hardware description languages
Hardware
Personal digital assistants
Sorting
Tablets
Computational complexity
Processing

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials

Cite this

Islam, M. S., Bhuyan, M. S., Md Ali, S. H., Othman, M., & Yeop Majlis, B. (2010). VHDL implementation of fuzzy based handwriting recognition system. In IEEE International Conference on Semiconductor Electronics, Proceedings, ICSE (pp. 161-164). [5549349] https://doi.org/10.1109/SMELEC.2010.5549349

VHDL implementation of fuzzy based handwriting recognition system. / Islam, Md. Shabiul; Bhuyan, M. S.; Md Ali, Sawal Hamid; Othman, Masuri; Yeop Majlis, Burhanuddin.

IEEE International Conference on Semiconductor Electronics, Proceedings, ICSE. 2010. p. 161-164 5549349.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Islam, MS, Bhuyan, MS, Md Ali, SH, Othman, M & Yeop Majlis, B 2010, VHDL implementation of fuzzy based handwriting recognition system. in IEEE International Conference on Semiconductor Electronics, Proceedings, ICSE., 5549349, pp. 161-164, 2010 IEEE International Conference on Semiconductor Electronics, ICSE 2010, Melaka, 28/6/10. https://doi.org/10.1109/SMELEC.2010.5549349
Islam MS, Bhuyan MS, Md Ali SH, Othman M, Yeop Majlis B. VHDL implementation of fuzzy based handwriting recognition system. In IEEE International Conference on Semiconductor Electronics, Proceedings, ICSE. 2010. p. 161-164. 5549349 https://doi.org/10.1109/SMELEC.2010.5549349
Islam, Md. Shabiul ; Bhuyan, M. S. ; Md Ali, Sawal Hamid ; Othman, Masuri ; Yeop Majlis, Burhanuddin. / VHDL implementation of fuzzy based handwriting recognition system. IEEE International Conference on Semiconductor Electronics, Proceedings, ICSE. 2010. pp. 161-164
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