Offline Handwritten Text Recognition (HTR) is one of the most interesting challenges in today's date in the field of Image processing. This paper introduces a novel technique to recognize the handwritten text by using Convolutional Recurrent Neural Network along with Connectionist Temporal Classification. This model makes use of the IAM dataset. Offline Signature Verification (SV) is another challenging task in the field of biometrics. This paper demonstrates a novel technique to verify the signature as an original or forged one, and makes use of the Convolutional Siamese network.
Due to increase in aggregation of vehicles at the road junctions and to avoid accidents at times, there is a need for a smart traffic light controller which can detect vehicle density on the road. This proposal involves image acquisition, vehicle detection and vehicle density through progressive image processing operations applied on the captured images using MATLAB. For multiple road implementations, we use a movable web-camera controlled by a stepper motor and data is stored and further extended for embedded applications. Smart Traffic Control can be achieved by Image acquisition, Edge detection, Image Enhancement techniques and Traffic Regulation.
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