Holistic verification of handwritten phrases

Holistic Verification of Handwritten Phrases

ÐIn this paper, we describe a system for rapid verification of unconstrained off-line handwritten phrases using perceptual holistic features of the handwritten phrase image. The system is used to verify handwritten street names automatically extracted from live U.S. mail against recognition results of analytical classifiers. Presented with a binary image of a street name and an ASCII street nam...

Holistic Farsi handwritten word recognition using gradient features

In this paper we address the issue of recognizing Farsi handwritten words. Two types of gradient features are extracted from a sliding vertical stripe which sweeps across a word image. These are directional and intensity gradient features. The feature vector extracted from each stripe is then coded using the Self Organizing Map (SOM). In this method each word is modeled using the discrete Hidde...

Holistic recognition of handwritten character pairs

Researchers have thus far focused on the recognition of alpha and numeric characters in isolation as well as in context. In this paper we introduce a new genre of problems where the input pattern is taken to be a pair of characters. This adds to the complexity of the classi"cation task. The 10 class digit recognition problem is now transformed into a 100 class problem where the classes are M00,...

Handwritten Signature Verification

Optimizing Handwritten Signature Verification

Signature recognition is probably the oldest biometrical identification method, with a high legal acceptance. Verification can be performed either Offline or Online based on the application. Online systems use dynamic information of a signature captured at the time the signature is made. Offline systems work on the scanned image of a signature. We have worked on the Offline Verification of sign...