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Offline Handwritten Text Recognition and Signature Verification
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  • Rehaan Sajjad Arai ,
  • Skanda Shanubog A ,
  • Rithik Jain ,
  • Pushkar Kumar ,
  • Krupashankari Sandyal
Rehaan Sajjad Arai
Dayananda Sagar College of Engineering

Corresponding Author:[email protected]

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Skanda Shanubog A
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Rithik Jain
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Pushkar Kumar
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Krupashankari Sandyal
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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.