Two stage classifierfor Arabic Handwritten Character Recognition
نویسندگان
چکیده
منابع مشابه
Isolated Arabic Handwritten Character Recognition: A Survey
Offline Arabic handwriting character recognition (AHCR) systems are very important since they make life easier for governments, researchers and scholars who are dealing with Arabic language in education, documentation and security. A widening use of the Arabic script in countries that deals with the Arabic language and countries that use the Arabic script in their languages such as Persian and ...
متن کاملHandwritten character recognition through two-stage foreground sub-sampling
In this paper, we present a methodology for off-line handwritten character recognition. The proposed methodology relies on a new feature extraction technique based on recursive subdivisions of the character image so that the resulting sub-images at each iteration have balanced (approximately equal) numbers of foreground pixels, as far as this is possible. Feature extraction is followed by a two...
متن کاملHandwritten Arabic Character Recognition: Which Feature Extraction Method?
Recognition of Arabic handwriting characters is a difficult task due to similar appearance of some different characters. However, the selection of the method for feature extraction remains the most important step for achieving high recognition accuracy. The purpose of this paper is to compare the effectiveness of Discrete Cosine Transform and Discrete Wavelet transform to capture discriminative...
متن کاملArabic Handwritten Alphanumeric Character Recognition using Fuzzy Attributed Turning Functions
In this paper, we present a novel method for recognition of unconstrained handwritten Arabic alphanumeric characters. The algorithm binarizes the character image, smoothes it and extracts its contour. A novel approach for polygonal approximation of handwritten character contours is applied. The directions and length features are extracted from the polygonal approximation. These features are use...
متن کاملOiahcr: online isolated arabic handwritten character recognition using neural network
In this paper, an online isolated Arabic handwritten character recognition system is introduced. The system can be adapted to achieve the demands of hand-held and digital tablet applications. To achieve this goal, despite of single neural networks, four neural networks are used, one for each cluster of characters. Feed forward back propagation neural networks are used in classification process....
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IJARCCE
سال: 2015
ISSN: 2278-1021
DOI: 10.17148/ijarcce.2015.412154