Feature Ranking Using Novel Consistency Measure by Normalized Standard Deviation and Proposal of Three Novel Global Features for Online Signature Verification
Journal Title: International Journal of Experimental Research and Review - Year 2024, Vol 44, Issue 8
Abstract
Signature is a behavioral biometric that evolves throughout a person’s life. Feature extraction and ranking are very important steps towards online signature verification in order to achieve high efficiency. In our case, we have extracted 48 global features. A novel feature ranking technique based on consistency measure using normalized standard deviation is proposed here and is compared with well-established mRMR based ranking. The use of normalized standard deviation formula is the novel approach for feature ranking. Moreover, we have proposed three novel global features for consistency measure and mRMR based ranking. These three features has shown its importance in consistency based ranking as well as in mRMR based ranking. Consistency estimation of global features is important in one-class classification framework, where only the genuine signatures are available. All the features that are ranked by consistency measures and its weighting factors of feature vector are computed for every signer. More consistent features has given more weight for verification. Feature ranking shows the importance of each features for a particular system. Also it helps in feature selection to select the more discriminating features for a particular system and removing all irrelevant features. It saves the computational time and size of the model. Different global features has different scaling factor. Generally, normalization is done before ranking but in our technique we have ranked our features without normalization. Because normalization disrupt the statistical consistency. Therefore, we have used min-max normalization where all the features are converted to (0-1) range after ranking. In our proposed system, the proposed phase related global features shows more consistency in our ranking process. Similarly well-established mRMR feature ranking has also ranked our proposed novel features number 48 (Standard deviation of the phase), 43 (Entropy of shape signature function) and 47 (Mean of phase) within top 13 features. It is seen that both our proposed novel feature ranking technique based on consistency measure and well-established mRMR based ranking has shown almost similar performance. The proposed algorithms are verified with SVC 2004 database.
Authors and Affiliations
Biswajit Kar, Bhimraj Prasai Chetry, Sayan Das
Keywords
Related Articles
- EP ID EP750735
- DOI 10.52756/ijerr.2024.v44spl.016
- Views 64
- Downloads 0
Analyze the Effect of Steel Waste on Performance Characteristics of Concrete
This study investigates the feasibility of incorporating steel waste as a sustainable alternative material for finer aggregate in concrete applications. The increasing volume of steel waste generated by industrial proces...
Exploring Female Agripreneurship: Insights from Grey Literature Using TCCM Framework
Women agripreneurs' expertise, abilities, and passion are some of the most effective strategies to improve their financial and social status. There is a wealth of systematic literature on women in entrepreneurship, as we...
Extensive study and data collection on the pituitary gland: A promising prospect revealed by surveying the fish market during the monsoon season
Because of India's large population, the fish supply demand is increasing daily. Among all fishes, the Indian major carp (Labeo rohita, Catla catla, etc.) is one of the most demanded fishes in India. Indian major carps b...
Scientific Assessment and Sorting of Topological Parameters Affecting Time in Recovering from COVID-19
Coronavirus disease 2019 is a new infectious respiratory disease as named by the World Health Organization. This virus is affecting different individuals in diverse manners. Consequently, studies are going on to identify...
The amount of fair remuneration determined on the basis of the theory of measuring human capital
The aim of the article is to compare the amount of remuneration expected by employees with the salary determined on the basis of the economic constant of potential growth. Using the theory of human capital, we are able t...