There is provided an encoding and decoding method and an information recognition device using the same. A code block includes a center coding region and a peripheral coding region arranged around the center coding region. The encoding and decoding method uses the feature of at least one microdot included in the center coding region as codes. The encoding and decoding method uses the feature of at least one microdot included in the peripheral coding region as codes. The encoding and decoding method uses the relative feature between the center coding region and the peripheral coding region as codes. The information recognition device compares the read feature with pre-stored features to decode information such as position codes, object codes, parameter codes and control codes.

A method for processing handwriting data is provided. The method includes filtering the handwriting data to remove one or more ineffective data points, acquiring a number of sampling points included in the handwriting data, when the number of the sampling points exceeds a first threshold, screening the handwriting data such that the number of the sampling points included in the screened handwriting data is not greater than the first threshold, acquiring attribute information of the handwriting data and processing the attribute information based on a preset length, and transmitting the screened handwriting data through a network.

The present invention provides an offline handwriting individual recognition system and method. The method comprises: scanning the suspicious handwriting to obtain a first white light image and a first three-dimensional image, and scanning the sample handwriting to obtain a second white light image and a second three-dimensional image; pre-processing the first white light image and the second white light image to obtain a first pre-processed image and a second pre-processed image; extracting a first skeleton image and a second skeleton image from the first pre-processed image and the second pre-processed image; obtaining a first writing trajectory and a second writing trajectory according to the first skeleton image and the second skeleton image; extracting a first dynamic feature, a first three-dimensional feature, and a second dynamic feature, a second three-dimensional feature; processing to obtain a correlation coefficient, and obtaining an individual recognition result.

Provided is a segment-block-based handwritten signature authentication system and a method thereof, and more particularly, to a handwritten signature authentication system and a method thereof that enrolls a handwritten signature including handwritten signature characteristics information based on segment blocks disjointed by a user, acquires segment-block-based handwritten signature characteristics information from the handwritten signature upon request for handwritten signature authentication, and performs handwritten signature authentication by comparing the pre-enrolled handwritten signature characteristics information based on segments and the acquired handwritten signature characteristics information.

A method of calculating the authenticity of a signature acquired online from a touch sensitive computer display within a mobile or stationary device comprises comparing extracted strokes from a second signature to those of a known genuine signature to determine the degree of matching. The strokes are obtained by decomposing the velocity image of each signature into low medium, and high velocity portions; decomposing the medium velocity portion into two partitions; and extracting strokes from each partition into contiguous parts.

Systems and methods for generating authentic digital memorabilia are described. A signor may be provided a digital photograph. The signor's signature, written message, or voice message may be received. Biometric authentication or verification may be performed on the signor's handwriting or voice sample through comparison with stored samples. If the verification signifies a high likelihood signor's handwriting or voice sample is authentic, creation of digital memorabilia is performed by embedding signor's signature or written message in a digital photograph and linking the signor's voice message with the photograph. The digital memorabilia is accompanied by a certificate of authenticity and distributed to a customer or displayed on a website.

Provided is a segment-based handwritten signature authentication system and method and, more specifically, to a segment-based handwritten signature authentication system and method, in which handwritten signature authentication based on segments is performed by using handwritten signature characteristics information based on segments disjointed by a user's signing behavior.

A method of recognizing individuals by means of at least one processor executing a recognition algorithm comprising the steps of: detecting biometric characteristics of a finger of a candidate for recognition while writing a signature by pressing the finger against a signature surface; encoding both the written signature and also the biometric characteristics in order to form signature data and biometric data of the candidate; and using the algorithm to compare the signature data and the biometric data of the candidate with signature data and fingerprint biometric data belonging to at least one individual and stored on a data medium.

Certain aspects of the present methods and systems may focus on computer implemented methods of obtaining digitized hand-writing data corresponding to a sample of a needed code point of a set of code points. Such methods may include: obtaining a sample of digitized handwritten text, the sample of digitized handwritten text including glyph data corresponding to a first glyph, the first glyph corresponding to the needed code point of the set of code points; associating the first glyph with the needed code point; identifying stroke data in the glyph data, the stroke data corresponding to a stroke component of the first glyph, determining a plurality of dimensional values of the stroke component in the stroke data; and associating the plurality of dimensional values with a new code point sample of the needed code point in a code point set data structure.

Disclosed are methods and systems for generating digital memorabilia including: providing a digital memorabilia signor with a digital photograph, a digital sports jersey, or a combination thereof; receiving at least one of an electronic signature or an electronic written message from the digital memorabilia signor to be embedded in the digital photograph, the digital sports jersey, or the combination thereof; embedding the at least one of an electronic signature or an electronic written message from the digital memorabilia signor into the digital photograph, the digital sports jersey, or a combination thereof to form the generated digital memorabilia; sending the generated digital memorabilia including the electronic signature and the electronic written message to a verification service to verify authenticity of the electronic signature and electronic written message in the generated digital memorabilia; and delivering the generated memorabilia to a digital receiver.