Handwritten recognition of Tamil vowels using deep learning

14th International Conference on Science, Engineering and Technology

自然科学;工业技术

Prashanth, N Ram^1 ; Siddarth, B.^1 ; Ganesh, Anirudh^1 ; Kumar, Vaegae Naveen^1

School of Electronics Engineering, VIT University, Vellore, Tamil Nadu

632014, India^1

关键词: Daily lives;    Deep belief networks;    Hand written character recognition;    Handwritten recognition;    Handwritten texts;    Large volumes;    Recognition accuracy;    Specific properties;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/263/5/052035/pdf
DOI  :  10.1088/1757-899X/263/5/052035

来源: IOP

【 摘 要 】

We come across a large volume of handwritten texts in our daily lives and handwritten character recognition has long been an important area of research in pattern recognition. The complexity of the task varies among different languages and it so happens largely due to the similarity between characters, distinct shapes and number of characters which are all language-specific properties. There have been numerous works on character recognition of English alphabets and with laudable success, but regional languages have not been dealt with very frequently and with similar accuracies. In this paper, we explored the performance of Deep Belief Networks in the classification of Handwritten Tamil vowels, and conclusively compared the results obtained. The proposed method has shown satisfactory recognition accuracy in light of difficulties faced with regional languages such as similarity between characters and minute nuances that differentiate them. We can further extend this to all the Tamil characters.