Javanese Character Feature Extraction Based on Shape Energy
نویسندگان
چکیده
منابع مشابه
Improve The Character Detection System Based On Feature Extraction Algorithm
The character recognition is the major important part in the area of document analysis. Character Recognition could be evaluated on printed text and handwritten text. Printed texture could be from a good quality image. In this research work, we implemented in the OCR approach to improve the recognition of character with Classification approach. We work on filtration techniques to improve the pi...
متن کاملShape feature extraction and description based on tensor scale
Tensor scale is a morphometric parameter that unifies the representation of local structure thickness, orientation, and anisotropy, which can be used in several computer vision and image processing tasks. In this article, we exploit this concept for binary images and propose a shape salience detector and a shape descriptor – Tensor Scale Descriptor with Influence Zones. It also introduces a rob...
متن کاملA feature extraction technique based on character geometry for character recognition
This paper describes a geometry based technique for feature extraction applicable to segmentation-based word recognition systems. The proposed system extracts the geometric features of the character contour. This features are based on the basic line types that forms the character skeleton. The system gives a feature vector as its output. The feature vectors so generated from a training set, wer...
متن کاملThree-Dimensional Local Energy-Based Shape Histogram (3D-LESH)-Based Feature Extraction– A Novel Technique
In this paper, we present a novel technique (3D-LESH) for detecting breast cancer in volumetric medical images. This technique has been incorporated as part of an intelligent expert system that can help medical practitioners make decisions regarding the medical diagnosis of a patient. Analysis of these images, slice by slice, is cumbersome and inefficient. Hence, 3D-LESH is designed to compute ...
متن کاملDiagonal Feature Extraction Based Handwritten Character System Using Neural Network
A handwritten character recognition system using multilayer Feed forward neural network is proposed in this paper. The character data set suitable for recognizing postal addresses contains 38 elements which include 26 alphabets, 10 numerals and 2 symbols. Fifteen different handwritten data sets were used for training the neural network for classification and recognition of the characters. Three...
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: EMITTER International Journal of Engineering Technology
سال: 2017
ISSN: 2443-1168,2355-391X
DOI: 10.24003/emitter.v5i1.175