Handwriting Standard Forms

Intelligent System for Reading Handwriting on Forms

The National Institute of Standards and Technology (NIST) has developed a form-based handprint recognition system for reading information written on forms. This public domain software test-bed may be obtained from NIST free of charge on CD-ROM. The recognition system is modular in design and integrates algorithms from heterogeneous computational paradigms including artificial intelligence, imag...

Off-line Handwriting Recognition from Forms

A public domain optical character recognition (OCR) system has been developed by the National Institute of Standards and Technology (NIST) to provide a baseline of performance on off-line handwriting recognition from forms. The system’s source code, training data, and performance assessment tools are all publicly available. The system recognizes the handprint written on Handwriting Sample Forms...

Unconscionability in Standard Forms

Morphisms, Symbolic sequences, and their Standard Forms

Morphisms are homomorphisms under the concatenation operation of the set of words over a finite set. Changing the elements of the finite set does not essentially change the morphism. We propose a way to select a unique representing member out of all these morphisms. This has applications to the classification of the shift dynamical systems generated by morphisms. In a similar way, we propose th...

Low-rank Tensor Standard Forms and Limits∗

Abstract. Despite the growing use of tensor-based methods, tensors remain mysterious and misunderstood objects. In this work we develop a standard form for low-rank tensors that allows one to focus on the important defining parameters (internal angles and comparative sizes) while ignoring unimportant parameters (separable unitary transformations). This standard form eases the analysis of tensor...