Abstract
The purpose of the present paper is the recognition of handwritten Arabic characters in their isolated form. The specificity of Arabic characters is taken into consideration, each of the proposed feature extraction method integrates one of the two aspects: spatial and textural. In the first step, a modified Bitmap Sampling method is proposed, which converts the character’s images into a binary Matrix and then constructs a Mask for each class. A matching rate is used between the input binary matrix and the masks to determinate the corresponding class. In the second step we investigate the use of an Artificial Neural Network as classifier with the binary matrices as features and then the histograms of Local Binary Patterns to capture the texture aspect of the characters. Finally, the results of these two methods are combined to take into consideration both aspects at the same time. Tested on the Arabic set of the Isolated Farsi Handwritten Character Database, the proposed method has 2.82% error rate
Highlights
IntroductionARCHIVES constitute the human documentary production; they reflect the activity of individuals and organizations in time
ARCHIVES constitute the human documentary production; they reflect the activity of individuals and organizations in time.The conservation of these archives is one of the major goals of the nations since they show their evolution
The systems that correspond to this category are known as Intelligent Character Recognition (ICR)
Summary
ARCHIVES constitute the human documentary production; they reflect the activity of individuals and organizations in time. The written direction is from right to left and the script is semi-cursive which means that some letters may connect to each other Depending on their position in the word the letters have shapes that may change, as they are preceded and/or followed by other letters or isolated. The fact that Arabic script is written from right to left influences on the texture of the shape in the beginning which differs from the one in the ending. We think that in the design of feature extraction methods for Arabic characters, one must take into consideration these two aspects spatial and textural. The rest of the paper is organized as follows: Section 2 provides a brief overview of some related works on the recognition of Arabic letters.
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