Sagheer Abbas1, Yousef Alhwaiti2, Areej Fatima3, Muhammad A. Khan4, Muhammad Adnan Khan5,*, Taher M. Ghazal6,7, Asma Kanwal1,8, Munir Ahmad1, Nouh Sabri Elmitwally2,9
CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4563-4581, 2022, DOI:10.32604/cmc.2022.021102
Abstract This paper presents a handwritten document recognition system based on the convolutional neural network technique. In today’s world, handwritten document recognition is rapidly attaining the attention of researchers due to its promising behavior as assisting technology for visually impaired users. This technology is also helpful for the automatic data entry system. In the proposed system prepared a dataset of English language handwritten character images. The proposed system has been trained for the large set of sample data and tested on the sample images of user-defined handwritten documents. In this research, multiple experiments get very worthy recognition results. The proposed system… More >
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