Abstract: A system is developed for recognition of handwritten Farsi/Arabic characters and numerals. The discrete wavelet transform is utilized to produce ...
A system is developed for recognition of handwritten Farsi/Arabic characters and numerals. The discrete wavelet transform is utilized to produce wavelet ...
Abstract: In this paper a system is developed for recognition of Handwritten FarsilArabic characters and numerals. The discrete Wavelet transform is ...
ABSTRACT: In the present paper, the problem of handwritten character recognition has been tackled with multiresolution technique using discrete wavelet ...
We propose a system for recognition of isolated handwritten Persian/Arabic characters and numerals. Wavelet transform has been used for feature extraction ...
Faez, A.T. Haghighat, ”Feature Extraction with Wavelet Transform for. Recognition of Isolated Handwritten Farsi/Arabic Characters and Numerals”, IEEE, pp.
Feature extraction with wavelet transform for recognition of isolated handwritten Farsi/Arabic characters and numerals · A. MowlaeiK. FaezA. Haghighat.
Faez, and A.T. Haghighat, “Feature extraction with wavelet transform for recognition of isolated handwritten farsi/arabic characters and numerals,” in 14th.
A robust and efficient method for Persian/Arabic handwritten numerals recognition based on K Nearest Neighbors (K-NN) classifier is presented in this paper.
This approach utilizes M-band packet wavelet transform to extract feature vector of Farsi word image. The global and local features extracted are exploited in ...
Missing: numerals. | Show results with:numerals.