Inventia (India)

This paper presents the design of 1.8V/3.3V 100 Mbps General Purpose Input/Output (GPIO) transmitter for an Intel Max 10 FPGA. This transmitter works for both 1.8V and 3.3V IO supplies. The building blocks of this transmitter are level shifter and driver circuits. The level shifter is designed to level up the data levels from 0.8V to 1.8V/3.3V. A progressive sized driver circuit is designed to drive 50$\Omega$ termination resistance and the load capacitance of 5pF as per the requirement of Intel Max10. The overall design is carried out with 22nm technology node on cadence virtuoso platform and is simulated across PVT. The simulation results shows that the proposed design supports up to a data rate of 100Mbps with a power consumption of 1.59mW at 1.8V supply and with a power consumption of 2.93mW at 3.3V supply.

Offline handwritten signatures is a convincing evidence form of biometrics for verification. However, the verification of offline handwritten signatures is challenging task because of the variations in handwritten signatures. To address this difficulty, this paper proposes a new approach to represent the shape. In this newly proposed approach, the signature pixels are represented by: (1) Gaussian Weighting Based Tangent Angle, to represent the curve angle at the reference pixel; (2) a new shape descriptor, i.e. cylindrical shape context is proposed for a detailed and accurate description of the curve at corresponding pixel. Experimental results show that desired pixel matching results are obtained by using cylindrical shape context which automatically increases the accuracy of verification of offline handwritten signatures. The shape dissimilarity measures are computed and given to the Support Vector Machine with Radial Basis Function (RBF) kernel for classification of signature. The results obtained using GPDS synthetic signature database, UTSig persian offline signature database, and MCYT-75 offline signature database shows the effectiveness of proposed cylindrical shape context.