Devanagari

About: Devanagari is a research topic. Over the lifetime, 655 publications have been published within this topic receiving 7428 citations. The topic is also known as: Deva nagari & Hindi Script.

Multi-task learning for pre-processing of printed Devanagari document images with hyper-parameter optimization of the deep architecture using Taguchi method

Abstract: An excellent text recognition system requires document images to be finely pre-processed. Several conventional image processing techniques have already been implemented to pre-process Devanagari document images by handcrafting features. In contrast with these methods, a deep learning process can be performed that learns the features automatically. In this paper, we have proposed a transfer learning (TL)-based multi-task deep learning (MTL) architecture for pre-processing of Devanagari document images. The MTL approach allows us to pre-process an input image for three pre-processing tasks, viz. binarization, shirorekha removal, and noise reduction, simultaneously. On the other hand, TL helps to transfer the already learned features from a pre-trained network to the existing one and copes with the problem of dataset scarcity. For each branch of the proposed TL-MTL architecture, we have implemented a convolutional encoder–decoder model. Further, the proposed architecture is optimized using Taguchi’s optimization method with different network’s hyper-parameters as the control factors. The results are then compared to those from the conventional pre-processing methods that are widely used on document images. The comparative results show that the proposed optimized architecture outdoes the traditional image processing methods and has an excellent performance on the dataset of Devanagari document images.

Segment Display for Devanagari Script and Numerals

Abstract: An arrangement of 30 segments main character display, 13 and 8 segments for attaching upper and lower modifier symbols respectively, is proposed for displaying Devanagari Script.With one additional segment to the conventional 7 segment display Devanagari numerals could be displayed. The 7 segment, as it is, could also be utilized if unconventional ways of writing numerals 8 and 9 are adopted. A nine-segment curvilinear display has also been worked out for displaying conventional Devanagari numerals.

Toward Recognition and Classification of Hindi Handwritten Document Image

Abstract: With the increased demand of digitization of Indic scripts in today’s world, many Devanagari printed and handwritten text recognition and extraction techniques have been developed and are used in industries, corporate, and institutional domain areas. Because of the script and character structure difficulties, and handwritten content-based criticalities, Hindi handwriting processing is considered as a big bottleneck in recognition systems. This paper introduces NMC handwriting types and complexity evaluators for Hindi language. The inherent challenges of handwriting are discussed further. Although several Hindi-based handwritten character recognizers have been developed, they are limited to the segmentation and identification of character images only. So, this paper proposes a new idea of offline Hindi handwritten document classification, which first recognizes and classifies the character images, and then classifies the document image into the predefined category. In support of this concept, this paper provides a case study using a set of Hindi handwritten documents and shows their segmentation and classification results. The proposed system puts a step ahead in the direction of automatic document image classification.

Review on Optical Character Recognition of Devanagari Script Using Neural Network

Abstract: During the last decades lot of research work has been done in the field of character recognition on various scripts in various languages. In India peoples are used to speak national language Hindi and spoken by more than 500 million people. Many languages in India, such as Hindi, Marathi and Sanskrit has uses Devanagari as its base script .As compared to English character; Indian script (Devanagri) characters are complicated for recognition. Devnagri script is the basis for many Indian script including Hindi, Sanskrit, Marathi, Kashmiri, and so on. In this paper we present a review of research work that has been done in the field of character recognition in Devanagari script in past.