Instruct: Identify the main and secondary category of Arxiv papers based on the titles and abstracts
Query: A Novel Method for the Recognition of Isolated Handwritten Arabic
  Characters   There are many difficulties facing a handwritten Arabic recognition system
such as unlimited variation in human handwriting, similarities of distinct
character shapes, interconnections of neighbouring characters and their
position in the word. The typical Optical Character Recognition (OCR) systems
are based mainly on three stages, preprocessing, features extraction and
recognition. This paper proposes new methods for handwritten Arabic character
recognition which is based on novel preprocessing operations including
different kinds of noise removal also different kind of features like
structural, Statistical and Morphological features from the main body of the
character and also from the secondary components. Evaluation of the accuracy of
the selected features is made. The system was trained and tested by back
propagation neural network with CENPRMI dataset. The proposed algorithm
obtained promising results as it is able to recognize 88% of our test set
accurately. In Comparable with other related works we find that our result is
the highest among other published works.

15
The categories of this paper are: nucl-ex
0
The categories of this paper are: hep-ph
17
The categories of this paper are: q-fin
34
The categories of this paper are: chem-ph
27
The categories of this paper are: comp-gas
16
The categories of this paper are: stat
25
The categories of this paper are: patt-sol
21
The categories of this paper are: adap-org
22
The categories of this paper are: chao-dyn
36
The categories of this paper are: cmp-lg
4
The categories of this paper are: cond-mat
30
The categories of this paper are: q-alg
7
The categories of this paper are: hep-th
23
The categories of this paper are: solv-int
2
The categories of this paper are: math
29
The categories of this paper are: funct-an