Abstract:
At present, recognition of the Bangla handwriting compound character has been an
important issue for many years. In recent years there have been application-based
researches in machine learning and deep learning which is gained interest and most
notably is handwriting recognition. Because it has a tremendous application such as
Bangla OCR. MatrrivaSha the project which can recognize Bangla handwritten several
compound characters. Currently, compound character recognition is an important topic
due to its variant application and helps to create old forms and information digitization
with reliability. But unfortunately, there is lack of perfect dataset that can categorize all
types of Bangla compound characters. MatrrivaSha is an attempt to alignment compound
character and it's challenging because each person has a unique style of writing shapes.
After all, MatrrivaSha has proposed a dataset that intends to recognize Bangla 120(one
hundred twenty) compound characters that consist of 2552(two thousand five hundred
fifty two) isolated handwritten characters written unique writers which were collected
from within Bangladesh. This dataset faced problem in terms of district, age and gender
based handwritten related research, because the samples were collected that includes a
verity of the district, age group and the equal number of males and females. As of now
our proposed dataset is so far the largest dataset for Bangla compound characters. It is
intended to frame the acknowledgment technique for handwritten Bangla compound
character. In the future, this dataset will be made publicly available to help widening the
research.
