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Proceedings Paper

Efficient feature extraction method applied to the OCR of Persian digits
Author(s): Farnad Laleh; Ahmad R. Mirzai
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Paper Abstract

In this paper, a method will be described for reduction of an n-dimensional feature vector into a 2D feature vector. Reaching for this goal, a structure is introduced, referred to as the chaining structure, which is generated from the initial n-dimensional feature vector. The proposed technique can be though as a feature extraction method. The simplicity and the consistency of the technique beside the fact that the resulted feature set is of 2D, are the main advantages of the proposed method. It will also be illustrated how a specially designed neural network can be used to implement the proposed method. The efficiency of the proposed feature extraction algorithm will be illustrated by applying the method to the OCR of handwritten Persian digits. Finally, it will be compared with principal component analysis.

Paper Details

Date Published: 30 October 1997
PDF: 10 pages
Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); doi: 10.1117/12.279552
Show Author Affiliations
Farnad Laleh, Aria Technology Group (Iran) and Iran Univ. of Science and Technology (Iran)
Ahmad R. Mirzai, Iran Univ. of Science and Technology (Iran)

Published in SPIE Proceedings Vol. 3164:
Applications of Digital Image Processing XX
Andrew G. Tescher, Editor(s)

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