Abstract
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.