Ancestry.com Operations Inc.

Laryn Brown

Jack Reese

Shawn Reid

Michael Murdock

Peter McCombs

Spencer Koehler

Randy Hansen

Mark Oswald

Spence Koehler

Systems and methods for classifying historical images. A feature extractor may create feature vectors corresponding to a plurality of images. A first classification of the plurality of images may be performed based on the plurality of feature vectors, which may include assigning a label to each of the plurality of images and assigning a probability for each of the assigned labels. The assigned probability for each of the assigned labels may be related to a statistical confidence that a particular assigned label is correctly assigned to a particular image. A subset of the plurality of images may be displayed to a display device. An input corresponding to replacement of an incorrect label with a corrected label for a certain image may be received from a user. A second classification of the plurality of images based on the input from the user may be performed.

Clustering historical images using a convolutional neural net and labeled data bootstrapping

Systems and methods for registering documents. A two-dimensional document image and one or more form images may be obtained. The document image may be projected onto a horizontal axis and a vertical axis to create a horizontal document projection and a vertical document projection. The form images may be projected onto the horizontal axis and the vertical axis to create a horizontal form projection and a vertical form projection. The horizontal document projection may be correlated with the horizontal form projection of the form images and the vertical document projection may be correlated with the vertical form projection of the form images. Correlation scores may be calculated based on the correlations.

2D multi-coordinate adaptive dynamics programming method for robust document registration

A handwriting recognition system converts word images on documents, such as document images of historical records, into computer searchable text. Word images (snippets) on the document are located, and have multiple word features identified. For each word image, a word feature vector is created representing multiple word features. Based on the similarity of word features (e.g., the distance between feature vectors), similar words are grouped together in clusters, and a centroid that has features most representative of words in the cluster is selected. A digitized text word is selected for each cluster based on review of a centroid in the cluster, and is assigned to all words in that cluster and is used as computer searchable text for those word images where they appear in documents. An analyst may review clusters to permit refinement of the parameters used for grouping words in clusters, including the adjustment of weights and other factors used for determining the distance between feature vectors.

System and method for transcribing handwritten records using word grouping with assigned centroids

System and method for transcribing historical records into digitized text

System and method for transcribing handwritten records using word groupings based on feature vectors

According to one embodiment, a method of linking a document image with indexed data is provided. The method may be performed by providing a document image, which is a digitized document having various information. Indexed data is also provided, which is a record that includes information extracted from the document image or a different document image. The process is further performed by identifying a feature of the indexed data and analyzing the document image to determine whether the feature is present within the information of the digitized document. The feature may be information or a characteristic defined by the information extracted from the document image or the different document image. If the feature is present within the information of the digitized document, a determination is made that the indexed data corresponds with the document image and the indexed data is linked with the document image.

Automated field position linking of indexed data to digital images

A city directory, having a listing of names and associated information of residents in a city (or similar location), is digitized. Zones of text having information not useful to users of the digitized directory are removed, and lines of information corresponding to residents are reconstructed, to make the digitized directory more easily accessed and reviewed.

System and method for capturing relevant information from a printed document

Lines of data that are from a historical document, such as a digitized city directory, have information extracted and stored in searchable data fields. Words and phrases within the lines of data are identified and tagged. Rendering rules are applied to the tagged words and phrases to extract names, addresses, occupations, spouse information and other data, and store that data in the searchable fields.

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Highland, UT, United States of America

Laryn Brown