We evaluated the proposed systems on a standard dataset of Persian handwritten characters. Using 36682 samples for training, we tested the proposed recognition ...

We evaluated the proposed systems on a standard dataset of Persian handwritten characters. Using 36682 samples for training, we tested the proposed recognition ...

Abstract — In recent years, many techniques for the recognition of Persian/Arabic handwritten documents have been proposed by researchers.

This paper tries to determine how features designed for Arabic handwritten recognition can be efficient in Arabic historical documents by conducting a ...

We evaluated the proposed systems on a standard dataset of Persian handwritten characters. Using 36682 samples for training, we tested the proposed recognition ...

We evaluated the proposed systems on a standard dataset of Persian handwritten characters. Using 36682 samples for training, we tested the proposed recognition ...

Bibliographic details on A Comparative Study of Persian/Arabic Handwritten Character Recognition.

In this paper, we try to determine how features designed for Arabic handwritten recognition can be efficient in Arabic historical documents by conducting a ...

This paper evaluates and compares the performance of K-Nearest Neighbors (KNN), Support Vector Machine (SVM) and Sparse Representation Classifier (SRC) for ...