[PDF] Top 20 A Survey Paper on Character Recognition

... Resizing of the thinned image is needed to be done to form character templates of fixed size. These character templates are used as reference database. Image resizing includes changing of the total size of ... See full document

... overall recognition accuracy of about ...Pattern recognition techniques are used to identify Hindi (Arabic) handwritten ...handwritten character recognition system for the isolated Gujarati ... See full document

... optical character recognition using artificial neural networks has been ...imaging. Recognition of characters helps in capturing the best photographs and images that are visible both closely and from ... See full document

... and recognition can now be performed in real-time for images captured under favorable ...face recognition has been encouraging, but still there are some unconstrained tasks where viewpoint, illumination, ... See full document

... In [33] Sukhaswamy et.al., proposed an approach to recognize Telugu script using Neural Networks. The author developed a network architecture called Multiple Neural Network Associative Memory (MNNAM) for ... See full document

... world. Recognition of Sanskrit (Devanagari) handwritten scripts is complicated compared to other language ...Sanskrit character recognition ...documents recognition still offers many ... See full document

... this paper, we propose a new neural network architecture for state-of-the-art handwriting recognition, alternative to multi-dimensional long short-term memory (MD-LSTM) recurrent neural ...this paper ... See full document

... Feature Extraction , Classification Classification and Post- Processing. Pre-processing includes Binarization, Normalization, Sampling, De-noising and Thinning .The Segmentation phase includes horizontal which includes ... See full document

... Speech Recognition (ASR) system which allows a computer to identify the words that a person speaks into a microphone or telephone and convert it into written text in respective ... See full document

... fold recognition have also been ...this paper, various algorithms that have been framed for protein structure ...a survey of parallel evolutionary models for protein fold recognition has also ... See full document

... Tibetan character recognition scheme of syllable-base association is proposed in the ...letter, character, syllable and word are explained, and the different writing styles are introduced as ...as ... See full document

... this paper, a new method is proposed for the efficient feature extraction based on Sym4 wavelet ...high recognition accuracy, minimum training and classification ... See full document

... pattern recognition, document analysis, image retrieval, artificial intelligence, machine learning and deep learning ...The character recognition is the process in which machine or computer ... See full document

... this paper the features of directions of pixels of the characters with respect to their neighboring pixels are extracted and given as input to the neural ...high recognition accuracy can be ...better ... See full document

... The paper is organized in seven sections. Section 2 outlines the features of Telugu script. Section 3 discusses about the related work, problem statement is presented in Section 4 and Section 5 discusses proposed ... See full document

... This paper focuses on an application that performs Kannada OCR (Optical Character Recognition) in hand held devices. The objective is to make use of the visual capabilities of the built in camera of ... See full document

... The difference between Gujarati and Devanagari script is the Devanagari words and characters have a upper line called Shiroekha (a header line) while Gujarati words and characters does not have Shiroekha. Gujarati ... See full document

... nature, character of a specific writer[16] Recognition and interpretation may be used in daily life, example being a pharmacist decodes the medicine written on a ... See full document

... Sumetphong et al. (2012) [9] has proposed a novel technique for recognizing broken Thai characters found in degraded Thai text documents by modeling it as a set-partitioning problem (SPP). The technique searches for the ... See full document

... this paper deals with the various pre-processing techniques involved in the character recognition with different kind of images ranges from a simple handwritten form based documents and documents ... See full document