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Dergiler / Istanbul University Journal of Electrical and Electronics Engineering / 2007 / Cilt: 7 - Sayı: 2

Invariant Bangla character recognition using a projection-slice synthetic-discriminant-function-based algorithm

Md. Waliullah Khan NOMANİ
Syed Mustafa Khelat BARİ
Tanwir Zubayer ISLAM
Mohammed Nazrul ISLAM
Sayfa
403–409
Yayın Tarihi
2022-10-18
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

Simulation results are furnished toprove the effectiveness of the proposed system.

📌 3 Maddede Bu Makale

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Amaç & Hipotez:The projection-slice theorem has been used to create synthetic-discriminant-function based matchedfilters that are capable of discerning rotation and scale distortions.
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Temel Bulgular & Veri:This technique is chosen for its superior performance to alternative JTCs andthe feasibility of its implementation in the all-optical domain.
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Sonuç & Katkı:Simulation results are furnished toprove the effectiveness of the proposed system.
🔬Tür:Araştırma Makalesi
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Alan Parametreleri

Abstract

The projection-slice theorem has been used to create synthetic-discriminant-function based matchedfilters that are capable of discerning rotation and scale distortions. We propose to use the projection- slice algorithm for invariant Bangla character recognition that is capable of accommodating differenthandwriting and font-style distortions. The projection-slice algorithm is applied to training images inorder to synthesize a composite image to represent each class. The opto-electronic fringe-adjustedjoint transform correlator (JTC) technique is then used to correlate the test images with the compositeimages of each class. This technique is chosen for its superior performance to alternative JTCs andthe feasibility of its implementation in the all-optical domain. Simulation results are furnished toprove the effectiveness of the proposed system.

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Bu Makaleye Atıf Yap

NOMANİ, M. W. K., BARİ, S. M. K., ISLAM, T. Z., ISLAM, M. N. (2022). Invariant Bangla character recognition using a projection-slice synthetic-discriminant-function-based algorithm. Istanbul University Journal of Electrical and Electronics Engineering, Cilt: 7 - Sayı: 2, 403–409. https://ajindex.com/articles/543789

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Kaynakça (5)

  1. Md. Waliullah Khan Nomani, Syed Mustafa Khelat Bari, Tanwir Zubayer Islam, Md. Rafiqul Haider, and Mohammed Nazrul Islam, ‘‘Gain-adjustable non-linear discrimination function for optical pattern recognition,’’ in Proc. ICEECE, pp. 62-67, December 22-24, Dhaka, Bangladesh
  2. V. R. Riasati, P. P. Banerjee, M. Abushagur, and K. B. Howell, ‘‘Rotation-invariant synthetic discriminant function for optical pattern recognition,’’ Opt. Eng. Vol: 39, pp. 1156-1161, 2000
  3. B. Javidi, J. Li, and Q. Tang, ‘‘Optical implementation of neural net-works for face recognition by use of nonlinear joint transform correlators,’’ Appl. Opt. Vol: 34, pp. 3950–3962, 1995
  4. V. R. Riasati and M. Abushagur, ‘‘Projection-slice synthetic discriminant functions for optical pattern recognition,’’ Appl. Opt. Vol: 36, pp. 3022–3034, 1997
  5. A. R. Alsamman, ‘‘Ultrafast invariant face recognition,’’ PhD Disser-tation, University of Alabama (2001).