نتایج جستجو برای: handwritten character recognition

تعداد نتایج: 315953  

Journal: :Signal & Image Processing : An International Journal 2017

Journal: :TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES 2019

Journal: :ACM Transactions on Asian Language Information Processing 2003

Journal: :International Journal of Computer Applications Technology and Research 2015

2017
Harpreet Kaur Simpel Rani

Handwritten Character Recognition (HCR) is one of the challenging processes. Automatic recognition of handwritten characters is a difficult task. In this paper, we have presented a scheme for offline handwritten Gurmukhi character recognition based on CNN classifier. The system first prepares a skeleton of the character, so that feature information about the character is extracted. CNN based ap...

2012
Bilan Zhu Masaki Nakagawa

Handwritten character pattern recognition methods are generally divided into two types: online recognition and offline recognition [1]. Online recognition recognizes character patterns captured from a pen-based or touch-based input device where trajectories of pentip or finger-tip movements are recorded, while offline recognition recognizes character patterns captured from a scanner or a camera...

Journal: :CoRR 2014
Anitha Mary M. O. Chacko P. M. Dhanya

Handwritten character recognition is one of the most challenging and ongoing areas of research in the field of pattern recognition. HCR research is matured for foreign languages like Chinese and Japanese but the problem is much more complex for Indian languages. The problem becomes even more complicated for South Indian languages due to its large character set and the presence of vowels modifie...

2014
Zou Yingyong

OCR is a complicated process, there are many factors that can influence the recognition rate. Early period people tried to optimize the classifier to obtain high recognition rate, but the premise is that there is only one character no matter print or handwritten. For the performance of classifier has been promoted a lot, recognition rate for single character is high enough for commercial use. W...

1999
Madasu Hanmandlu Harish Kumar K. R. Murali Mohan

This paper explores the existing ring based [2], the new sector based and the combination of these, termed as Fusion method for the recognition of handwritten English capital letters. The variability associated with the characters is accounted for by way of considering a fixed number of concentric rings in the case of ring based approach and a fixed number of sectors in the case of sector appro...

Journal: :CoRR 2010
Nibaran Das Bindaban Das Ram Sarkar Subhadip Basu Mahantapas Kundu Mita Nasipuri

A novel approach for recognition of handwritten compound Bangla characters, along with the Basic characters of Bangla alphabet, is presented here. Compared to English like Roman script, one of the major stumbling blocks in Optical Character Recognition (OCR) of handwritten Bangla script is the large number of complex shaped character classes of Bangla alphabet. In addition to 50 basic character...

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