• Prarthana Parmar
• Jahnvi Mehta
• Sakshi Sharma
• Krupa Patel
• Parth Singh

Signature is a biometric trait of humans which is used to confirm human identity. Signature is used in authentication and authorization for many official transactions such as bonds, cheques, and card transactions. There are two types of signatures: 1) Online signature, 2) Offline signature. Online signature generates dynamic parameters like velocity, pressure, intensity, force, etc. Offline signature verification consists of mainly 4 components: preprocessing, feature extraction, recognition, and verification. This paper presents a review of offline signature verification methodologies. This paper concentrates the most on the neural network for recognition and verification of signatures.

signature verification, preprocessing, feature extraction, matching techniques, recognition rate, FAR, FRR, EER, Neural Networks;

"A Survey of Handwritten Signature Verification System Methodologies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 5, page no.1-6, May - 2019, Available :http://www.jetir.org/papers/JETIRCQ06001.pdf

"A Survey of Handwritten Signature Verification System Methodologies", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 5, page no. pp1-6, May - 2019, Available at : http://www.jetir.org/papers/JETIRCQ06001.pdf