In behavioural biometrics, one common method of authentication is offline signature recognition with forgery detection. An innovative offline signature forgery detection method based on Hough transform characteristics is presented in this research. One method for extracting features is the hough transform, which may identify regular forms like lines, curves, ellipses, and so on. Following the preprocessing procedures for the signature samples, we use the Hough transform to extract the shape characteristics. We do this by extracting attributes from ten real signatures and five fake signatures belonging to twenty different individuals. After that, the correlation coefficient and the thresholding approach are used to identify forgeries. A 92% accuracy rate was achieved using the suggested approach.

It takes a lot of time and effort to identify, segment, and detect the affected region in a brain tumour. Magnetic resonance imaging (MRI) is a notion in image processing that allows one to see the various human body structures. Using standard imaging methods to detect aberrant brain regions is a huge challenge. Multiple imaging modalities are used in an MRI procedure to examine and record the brain's interior structure. This article focuses on a method for removing noise from medical photographs, and then how to improve them using a balance contrast enhancement technique (BCET) so that an accurate diagnosis may be made. The next step is to apply picture segmentation. The last step is to use the cunning edge detection approach to pick up on the subtle contours. To prove that the suggested method works, the results of the experiment showed that the area of the tumour and normal brain areas could be detected with approximately 98% accuracy in MRI pictures.

In this study, we will try to enhance cloud computing's data storage security display and set the groundwork for cloud computing's future. Many organisations are opting to shift capacity to the cloud for many compelling reasons. Since there is no need to invest money in an internal IT structure to support a different company from the outset, start-up expenses are much lower for that firm. When people think about moving their data storage to the cloud, the first thing that comes to mind is usually the question of data security. Information security requirements for remote storage are identical to those for onsite storage, and they do not alter. Whatever the storage location, security should always be based on what is required by the company for specific applications and data sets. Cloud computing information storage security is still in its infancy, and many research questions remain unanswered. This is a very important and challenging area of study. In order to ensure th

One major perk of shopping online is how easy it is to see exactly what things cost. Online retailers greatly benefit from dynamic pricing, even though it is not novel and many utilise it to boost profits. In order to develop the e-commerce platform with the aid of consumers, the suggested research is the outcome of an ongoing project that aims to expand a standard framework and relevant technologies utilising sound system learning algorithms to identify purchases at the optimal price (no longer the lowest price). One of the most visible sectors of the country's economy is the automotive industry. A growing number of people are opting to use this specific vehicle charging station. Prior to making a purchase, the buyer must determine whether the vehicle is suitable for his requirements. Parts, cylinder diameter, headlights, and, most significantly, pricing are just a few of the many criteria and considerations to think about when purchasing a new vehicle. In light of this

Intelligent medical data analytics is only one of several cloudbased IoT machine learning applications that rely on phrase search to retrieve documents that include an exact term. Data owners often encrypt documents (such as medical records) before outsourcing them to the cloud to prevent the leakage of sensitive information. On the other hand, this makes the search operation a very difficult process. Smart encrypted data processing in the cloud is the focus of this article, where we provide P3, a privacy-preserving phrase search strategy that is both efficient and effective. We find the geographical association of numerous requested keywords over encrypted data by using the homomorphic encryption and bilinear map in our technique. In addition, it safeguards users' search habits by use of a probabilistic trapdoor creation method. A comprehensive evaluation of P3's security features reveals the benefits of these enhancements. We put a prototype into action and do compreh