Off-line Handwritten Numeral Recognition using Hybrid Feature Set – A Comparative Analysis
نویسندگان
چکیده
منابع مشابه
Off-line Arabic Handwritten Recognition Using a Novel Hybrid HMM-DNN Model
In order to facilitate the entry of data into the computer and its digitalization, automatic recognition of printed texts and manuscripts is one of the considerable aid to many applications. Research on automatic document recognition started decades ago with the recognition of isolated digits and letters, and today, due to advancements in machine learning methods, efforts are being made to iden...
متن کاملO -Line Handwritten Numeral String Recognition
This report describes work on handwritten numeral string recognition. In particular, we address the building of a continuous recognition system based on hidden Markov models and the combination of this system with a previously developed discrete recognition system. We describe experiments with a simple combination scheme, called score summation, that turns out to be capable of improving the rec...
متن کاملA hybrid recognition system for off-line handwritten characters
Computer based pattern recognition is a process that involves several sub-processes, including pre-processing, feature extraction, feature selection, and classification. Feature extraction is the estimation of certain attributes of the target patterns. Selection of the right set of features is the most crucial and complex part of building a pattern recognition system. In this work we have combi...
متن کاملHandwritten Gurmukhi Numeral Recognition using Zone-based Hybrid Feature Extraction Techniques
This paper presents an overview of Feature Extraction techniques for off-line recognition of isolated Gurumukhi numerals/characters. Selection of Feature Extraction method is probably the single most important factor in achieving high performance in pattern recognition. Our paper presents Zone based hybrid approach which is the combination of image centroid zone and zone centroid zone of numera...
متن کاملHandwritten numeral recognition using autoassociative neural networks
nn ee tt ww oo rr kk s ee ss ss ,, pp ll ee aa ss ee .
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Procedia Computer Science
سال: 2017
ISSN: 1877-0509
DOI: 10.1016/j.procs.2017.11.478