Browsing by Author "Tahsin, Samiha"

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    Restaurant Management System: A E-commerce Site For Fast-food Products Where Customer Can Connect to a Restaurant With Its Menu Through Mobile
    (East West University, 2020-09-05) Tahsin, Samiha; Tarin, Taslima Yasmin
    Portable based exchange are among a few of the quickest developing zones in Data Innovation nowadays. The development presents assorted opening more especially in supply and dissemination of products and administration beneath the more extensive umbrella of mcommerce since numerous buyers would advantage by having implies of making orders utilizing their portable gadgets. A major common problem facing typical ordering systems in restaurants is that customers have to depend on waiters for getting the menu, order to them which makes things a little bit of harassment as they had to wait for waiter’s longtime sometimes. In order to solve this problem we have developed a mobile application for restaurant management and user both where no waiter service exists in between customer and restaurant while ordering food.The app will offe the ability to manage accounts,orders and activitie related to it. It should offer good GUI for easy use and a faster way to complete user requirements. The app will communicate with restaurant web applications.
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    Verifying online signatures through an iterative device independent model
    (BRAC University, 2023-01) Tahsin, Samiha; Molla, Robin; Jamal, Omran; Islam, Md Saiful; Rahman, Rafeed
    Hand signatures are getting used from as early as we invented writing. In 3100 BC, we found examples of people using words and symbols to denote their identity. It has also been used as a method of identification. Modern society kept hand signatures for many purposes like the authentication of banking and real estate fields. The recent trend of working from home and business on the go created a necessity to bring the signature from paper to smartphone. Statistics also indicated that it is a user-preferred method of verification. In this paper, we proposed a novel method to verify online signatures using an iterative approach that is device independent. It will be helpful to bring the signatures from paper to smartphones. In this method, we have created a model per signatory, based on their behavioral pattern on each point based on time and distance from the start of the signature. We also considered the defference between the signatory’s own signatures while training. We worked with defferent derived datapoints like velocity, angular velocity etc. We have achieved 8% EER on the MCYT dataset and 20% EER on the Mobisig dataset.