Signature Classification using Optimum Contour
نویسندگان
چکیده
An offline handwritten signature classification approach is presented. The signature is parameterized using the radius values for contour points in the polar coordinates space. In order to determine the optimum outline for the classification task, nearest and faraway points were took into account. HMM and SVMLight model are analyzed in this work. Selecting faraway points offers better results, and using SVMLight model with polynomial kernel presents the best accuracy values obtained (99,02%). Key-Words: Automatic signature Classification, Hidden Markov Model, Support Vector Machine.
منابع مشابه
Off-line Signature Verification using the Enhanced Modified Direction Feature and Neural-based Classification
Signatures continue to be an important biometric for authenticating the identity of human beings. This paper presents an effective method to perform off-line signature verification using unique structural features extracted from the signature's contour. A novel combination of the Modified Direction Feature (MDF) and additional distinguishing features such as the centroid, surface area, length a...
متن کاملSignature Segmentation from Machine Printed Documents using Contextual Information
Abstract: Automatic signature segmentation from a printed document is a challenging task due to the nature of handwriting of the signatory, overlapping/touching of signature strokes with printed text, graphics, noise, etc. In this paper we propose an approach towards the problem of signature segmentation. The method first detects the signature blocks and then segments them from the document ima...
متن کاملHand Posture Classification by Means of a New Contour Signature
This paper deals with hand posture recognition. Thanks to an adequate setup, we afford a database of hand photographs. We propose a novel contour signature, obtained by transforming the image content into several signals. The proposed signature is invariant to translation, rotation, and scaling. It can be used for posture classification purposes. We generate this signature out of photographs of...
متن کاملBreast masses in mammography classification with local contour features
BACKGROUND Mammography is one of the most popular tools for early detection of breast cancer. Contour of breast mass in mammography is very important information to distinguish benign and malignant mass. Contour of benign mass is smooth and round or oval, while malignant mass has irregular shape and spiculated contour. Several studies have shown that 1D signature translated from 2D contour can ...
متن کاملتصدیق امضای پویا و احراز هویت مبتنی بر استخراج نقاط غالب پایدار و تقطیع الگوهای امضا
One of the basic problems in signature verification is variability and differences apparent on patterns of signature even for an individual. Signature segmentation to basic components, in addition to the access to the stable features, the hidden differences are revealed between genuine and forgery patterns. In this paper, signature patterns of two-dimensional are segmented by using dominant poi...
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 2006