Feature Extraction of Bisindo Alphabets Using Chain Code Contour
نویسندگان
چکیده
منابع مشابه
Feature Extraction Using a Chaincoded Contour Representation of Fingerprint Images
A feature extraction method using the chaincode representation of fingerprint ridge contours is presented for use by Automatic Fingerprint Identification Systems. The representation allows efficient image quality enhancement and detection of fine feature points called minutiae. Enhancement is accomplished by binarization and smoothing followed by estimation of the ridge contours field of flow. ...
متن کاملCharacter Feature Extraction Using Polygonal Projection Sweep (Contour Detection)
It is presented in this paper a new approach to the problem of feature extraction. The approach is based on the edge detection, where a set of feature vectors is taken from the source image. The images under this investigation are considered to be manuscript characters and the features are obtained by the distance from the contour of each character to several observation points placed around th...
متن کاملChain Code Extraction of Handwritten Recognition using Particle Swarm Optimization
As one of soft computing optimization tools, Particle Swarm Optimization (PSO) has been applied in many fields such as in handwritten recognition and classification. Associated with the development of PSO algorithm is the data representation to be used as input to the algorithm. One of data representation scheme is Freeman chain code (FCC). As one of traditional scheme in representing data, FCC...
متن کاملanalysis of ruin probability for insurance companies using markov chain
در این پایان نامه نشان داده ایم که چگونه می توان مدل ریسک بیمه ای اسپیرر اندرسون را به کمک زنجیره های مارکوف تعریف کرد. سپس به کمک روش های آنالیز ماتریسی احتمال برشکستگی ، میزان مازاد در هنگام برشکستگی و میزان کسری بودجه در زمان وقوع برشکستگی را محاسبه کرده ایم. هدف ما در این پایان نامه بسیار محاسباتی و کاربردی تر از روش های است که در گذشته برای محاسبه این احتمال ارائه شده است. در ابتدا ما نشا...
15 صفحه اولDiagonal Based Feature Extraction for Handwritten Alphabets Recognition System using Neural Network
An off-line handwritten alphabetical character recognition system using multilayer feed forward neural network is described in the paper. A new method, called, diagonal based feature extraction is introduced for extracting the features of the handwritten alphabets. Fifty data sets, each containing 26 alphabets written by various people, are used for training the neural network and 570 different...
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: International Journal of Engineering and Technology
سال: 2017
ISSN: 2319-8613,0975-4024
DOI: 10.21817/ijet/2017/v9i4/170904138