A Survey on Odia Character Recognition
نویسندگان
چکیده
Recognition of Odia handwritten and machine characters and numerals is an emerging area of research and finds extensive applications in banks, offices and industries. Very little standard research work has been reported on recognition of handwritten and machine characters and numerals. This paper makes an in depth study on the existing literature on recognition of machine and handwritten Odia characters and numerals. The key steps [44] such as preprocessing, segmentation, feature extraction and classification involved in the recognition process of Odia characters are dealt in details. The well known techniques employed for segmentation, feature extraction and classification tasks of Odia characters are reviewed and their relative strengths and weaknesses are outlined. The paper also discusses the current trends and future research scope in the area of Odia character recognition. It is expected that this paper will be useful to those who will be interested to work in the fields of recognition of Odia characters.
منابع مشابه
Handwritten Odia Character Recognition
Odia is one of the oldest and popular languages of India, spoken by more than 44 million people, especially in Odisha, India. Some characters in Odia are made up of more than one connected symbols. Compound characters are written by associating modifiers with consonants, resulting in a huge number of possible combinations, running into hundreds of thousands. Therefore, systems developed for rec...
متن کاملStudy and Analysis for Development of an Efficient OCR for Printed and Handwritten ODIA Documents: A Survey
The OCR (optical character recognition) is the process of translating the hand written or printed text into a format that is understood by the machine for the purpose of editing, searching and indexing. Preprocessing, segmentation, features extraction, classification and post processing are the main phases of any OCR system and these specific fields are in use today. For all these tasks the seg...
متن کاملShape descriptors-based generalised scheme for handwritten character recognition
In this paper, we propose a novel scheme for recognition of handwritten numerals for a regional language Odia of the Indian continent. Additional attempts have also been made to implement this scheme for recognition of handwritten numerals of two other languages namely, Bangla and English. Thus, the proposed scheme has been generalised to three different languages. Three variants of time series...
متن کاملA Contour Descriptors-Based Generalized Scheme for Handwritten Odia Numerals Recognition
In this paper, we propose a novel feature for recognizing handwritten Odia numerals. By using polygonal approximation, each numeral is segmented into seg ments of equal pixel counts where the centroid of the character is kept as the or igin. Three primitive contour features namely, distance (l), angle (θ), and arc-to-ch ord ratio (r), are extracted from these segments. These features are used i...
متن کاملReal Coded Genetic Algorithm Based Neural Network Model for Odia Numerals Recognition
Character recognition has great importance in present scenario. It has many application areas in the field of business, postal system, banking, library, form processing, document processing etc. A highly efficient character recognition system is required for such type of applications. Various authors have used different classifiers, mainly based on neural networks for this purpose. As BackPropa...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2015