TY  - JOUR
T1  - Segmentation and Recognition of Unconstrained Bangla Handwritten Numeral
AU - , Dipankar Das AU - , Rubaiyat Yasmin 
JO  - Asian Journal of Information Technology
VL  - 5
IS  - 2
SP  - 155
EP  - 159
PY  - 2006
DA  - 2001/08/19
SN  - 1682-3915
DO  - ajit.2006.155.159
UR  - https://makhillpublications.co/view-article.php?doi=ajit.2006.155.159
KW  - Bangla numeral segmentation
KW  -numeral recognition
KW  -projection profile-based technique
KW  -artificial neural network
KW  -connected numerals
AB  - This study deals with the segmentation and recognition of unconstrained off-line Bangla handwritten numerals. The projection profile-based heuristic technique is used to segment handwritten numerals. The results, based on this approach are quite satisfactory for the next classifier stage. Following the segmentation, character matrices from each numeral are extracted, normalized and then passed through an Artificial Neural Network (ANN) classifier for classification. The proposed scheme is tested on data collected from different individuals of various background and foreground colors.
ER  -