Efficient feature extraction method applied to the OCR of Persian digits

Farnad Laleh; Ahmad R. Mirzai

doi:10.1117/12.279552

30 October 1997 Efficient feature extraction method applied to the OCR of Persian digits

Farnad Laleh, Ahmad R. Mirzai

Proceedings Volume 3164, Applications of Digital Image Processing XX; (1997) https://doi.org/10.1117/12.279552
Event: Optical Science, Engineering and Instrumentation '97, 1997, San Diego, CA, United States

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.

Citation Download Citation

Farnad Laleh and Ahmad R. Mirzai "Efficient feature extraction method applied to the OCR of Persian digits", Proc. SPIE 3164, Applications of Digital Image Processing XX, (30 October 1997); https://doi.org/10.1117/12.279552

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