Hilditchs Algorithm Based Tamil Character Recognition
Character identification plays a vital role in the contemporary world of Image processing. It can solve many composite problems and makes humans work easier. An instance is Handwritten Character detection. Handwritten recognition is not a novel expertise, but it has not gained community notice until Now. The eventual aim of designing Handwritten Character recognition structure with an accurateness rate of 100% is pretty illusionary. Tamil Handwritten Character recognition system uses the Neural Networks to distinguish them. Neural Network and structural characteristics are used to instruct and recognize written characters. After training and testing the exactness rate reached 99%. This correctness rate is extremely high. In this paper we are exploring image processing through the Hilditch algorithm foundation and structural characteristics of a character in the image. And we recognized some character of the Tamil language, and we are trying to identify all the character of Tamil In our future works.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Face Verification System based on Integral Normalized Gradient Image(INGI)
Character identification plays a vital role in the contemporary world of Image processing. It can solve many composite problems and makes humans work easier. An instance is Handwritten Character detection. Handwritten re…
Face VerificationA Novel Approach to OCR using Image Recognition based Classification for Ancient Tamil Inscriptions in Temples
Recognition of ancient Tamil characters has always been a challenge for epigraphers. This is primarily because the language has evolved over the several centuries and the character set over this time has both expanded an…
BinarizationGeneral ClassificationOptical Character RecognitionOptical Character Recognition (OCR)+2uTHCD: A New Benchmarking for Tamil Handwritten OCR
Handwritten character recognition is a challenging research in the field of document image analysis over many decades due to numerous reasons such as large writing styles variation, inherent noise in data, expansive appl…
BenchmarkingOptical Character Recognition (OCR)Zero-shot OCR Accuracy of Low-Resourced Languages: A Comparative Analysis on Sinhala and Tamil
Solving the problem of Optical Character Recognition (OCR) on printed text for Latin and its derivative scripts can now be considered settled due to the volumes of research done on English and other High-Resourced Langua…
Document AIJudithJeyafreedaAndrew@TamilNLP-ACL2022:CNN for Emotion Analysis in Tamil
Using technology for analysis of human emotion is a relatively nascent research area. There are several types of data where emotion recognition can be employed, such as - text, images, audio and video. In this paper, the…
Emotion Recognition