Detection and recognition of handwritten English language characters and numerals is
facing challenges due to the huge variation and haziness of strokes from one individual to …

Present years are the exciting times for recognition of handwritten characters in the fields of
Image Processing, Pattern Recognition, and Computer Vision. Recognizing handwritten …

Convolution Neural Network (CNN) is turning out to be a very powerful tool for solving
Machine Learning (ML) problems, especially in multiclass image classification. With the …

The process of giving machines the ability to recognize human handwritten digits and
characters is known as handwritten digit and character recognition. Handwritten digits and …

Automatic handwritten characters' recognition is one of Artificial intelligence applications
which is considered an interesting research area and important in various fields. Many …

Convolutional neural networks have been proven powerful in handwritten digits and
alphabetic recognition. In this project, different convolutional neural networks are explored to …

Abstract Using the CNN (Convolutinal Neural Network), Deep Learning for variety of fields
are being developed and these are showing significantly high level of performance at image …

Recognition of handwritten characters is one of the difficult and challenging task because of
the variation of characters in size, style and pattern. The complexity increased further with …

The number of Arabic handwriting documents has increased greatly. Studies conducted in
the Arabic handwriting recognition field have progressed significantly in recent years in …

Handwritten character or digit recognition involves automatically classifying handwritten
characters or digits from images. Previous studies focused on specific datasets and did not …