There are many researchers working on handwritten text recognition (HTR) and also contributing to HTR domain. Even though many research methods are existing for HTR, there is a need for some more ...

This article is dedicated to the reduction of the offline handwritten character recognition task (using a handwriting image as input) to the online recognition task (using a pen trace as input). A ...

Breast cancer detection through mammograms is very crucial for early diagnosis, and tumor segmentation is an important step in treatment planning. This paper proposes a novel approach by combining ...

In the field of optical character recognition, there are still unans wered research questions regarding the recognition of handwritten text. In this paper, an effective method for developing ...

Robust segmentation of hands in a cluttered environment for hand gesture recognition has remained a challenge in computer vision. In this work, a two-stage gesture recognition framework is proposed.

In this paper, we introduce an “on the device” text line recognition framework that is designed for mobile or embedded systems. We consider per-character segmentation as a language-independent problem ...

Mental illness prediction through text involves employing natural language processing (NLP) techniques and deep learning algorithms to analyze textual data for the identification of mental disorders.

The proposed work aims on the task of identifying handwritten alphabets using a predictive designed CNN model. The visual image of alphabet character can be stored digitally for future use. The ...

Jordanian Arabic, a prominent Levantine dialect, increasingly appears in written form on social media, requiring robust NLP tools for accurate recognition. This paper presents a ByT5-based approach to ...

Accurate image segmentation of skin lesions is crucial for the detection and treatment of skin cancer. Based on the modern state space model Mamba, a novel hybrid CNN-Mamba network (BEFNet) is ...

Medical image segmentation is a critical component of medical image processing and analysis, aimed at precisely delineating the target region from the background and facilitating the extraction of ...