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In this paper, we propose a secure and revocable biometric bit-string generation technique for template protection. The proposed method consists of random tiling and equal probable discretisation. Random tiling is a feature transformation method to derive random features from biometric data based on a user specific key. In the event of template is compromised, a refreshed biometric template can easily be issued by replacing the compromised key with a new user specific key. On the other hand, we propose a modified equal probable discretisation to partitions the uneven biometric data distribution into different equal probable segments rather than equal width segments. This guarantees each set of the codeword has the same likelihood of occurring and thus user privacy is strengthened as it becomes difficult for an adversary to correctly guess the codeword associated with each segment. The proposed method is evaluated using multimodal biometrics -the fusion of fingerprint and palmprint at feature level. Encouraging experimental results vindicate the feasibility of our approach.

Abstract-Thanks to globalization, mobile devices have become an inseparable entity of our daily life. We often expect our smart devices (mobile phone, tablet, portable media player) to possess the functionalities of a personal computer. As the technology is getting cheaper, owning multiple mobile devices, each for a specific purpose, is becoming the current trend. For instance, an Android smartphone to fulfill a user's communication needs on-the-go, an iPad could serve the user's reading hobby, and lastly, a laptop for productivity activities. As such, to switch among different devices could be the emerging problem of the current generation. With our proposed Android based remote control app, a user does not only able to control his Windows based office laptop, but he could access to his IOS based devices too. Besides click event and text input, this application also supports panning and zooming gesture inputs.