Individuality Representation in Character Recognition
نویسندگان
چکیده
منابع مشابه
Handwritten Hangul Character Recognition with Hierarchical Stochastic Character Representation
In structural character recognition, a character is usually viewed as a set of strokes and the spatial relationships between them. In this paper, we propose a stochastic modeling scheme by which strokes as well as relationships are represented by utilizing the hierarchical characteristics of target characters. Based on the proposed scheme, a handwritten Hangul (Korean) character recognition sys...
متن کاملHandwritten Character Recognition using Modified Gradient Descent Technique of Neural Networks and Representation of Conjugate Descent for Training Patterns
The purpose of this study is to analyze the performance of Back propagation algorithm with changing training patterns and the second momentum term in feed forward neural networks. This analysis is conducted on 250 different words of three small letters from the English alphabet. These words are presented to two vertical segmentation programs which are designed in MATLAB and based on portions (1...
متن کاملChemosensory recognition of olfactory individuality.
Body odors regulate social, sexual and endocrine responses of many species. Specialized structures have evolved to produce and detect odorous signals. Individual identity, often communicated through body odor, can be critical in mate choice, incest avoidance, parental care and other inter-individual interactions. Because of the importance of individual identity, particularly among social specie...
متن کاملCharacter Recognition Using a Neural Network Model with Fuzzy Representation
The degree to which digital images are recognized correctly by computerized algorithms is highly dependant upon the representation and the classification processes. Fuzzy techniques play an important role in both processes. In this paper the role of fuzzy representation and classification on the recognition of digital characters is investigated. An experimental Neural Network model with applica...
متن کاملTifinagh Character Recognition using Harris Corner Detector and Graph Representation
In this article, a printed Tifinagh character recognition system is presented. It is composed of three main steps: pre-processing, features extraction and classification. In the pre-processing step, binarization, normalization and thinning are applied to enhance the quality of the image. In the feature extraction step, corners are extracted using Harris Corner Detection method then represented ...
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: Journal of University of Human Development
سال: 2015
ISSN: 2411-7765,2411-7757
DOI: 10.21928/juhd.v1n2y2015.pp300-305