Content based image retrieval technique is done by three primitive methods namely through color, shape and texture. This paper provides specified path to use these primitive features to retrieve the…

The effective content-based image retrieval (CBIR) needs efficient extraction of low level features like color, texture and shapes for indexing and fast query image matching with indexed images for the…

Content Based Image Retrieval (CBIR) is a technique that enables a user to extract an image based on a query, from a database containing a large amount of images. A…

Signatures are imperative biometric attributes of humans that have long been used for authorization purposes. Most organizations primarily focus on the visual appearance of the signature for verification purposes. Many…

Facial feature detection and extraction plays a significant role in face recognition. In this paper, we proposed a new approach for face feature description using support vector machine classifier. Searching…

Biometric technology plays a vital role for providing the security which is imperative part in secure system. Human face recognition is a potential method of biometric authentication. This paper presents…

High false positive face detection is a crucial problem which leads to low performance face recognition in surveillance system. The performance can be increased by reducing these false positives so…

This project aims at developing a support vector machine for identity verification of offline signature based on the feature values in the database. A set of signature samples are collected…

The Kaun Banega Crorepati Python Project is suitable for practice. Anyone who is willing to make a project for their final year submission can leverage the source code. It can be…

Postural impairment due to neuro-degenerative disorders such as Parkinson’s Disease (PD) leads to restricted gait patterns, fall-related injuries, decreased mobility, and loss of functional independence. Though several clinical and posturographic…