Writer Verification of Historical Documents among Cohort Writers

Ball, Gregory R.; Srihari, Sargur N.; Stritmatter, Roger

doi:10.1109/icfhr.2010.55

Cited by 11 publications

(10 citation statements)

References 6 publications

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“…Some methods have combined both texture-based and character-based features [11], [12], [13]. Such methods can typically use information from the document, bigram and character levels (e.g.…”

Section: Related Workmentioning

confidence: 99%

“…Such methods can typically use information from the document, bigram and character levels (e.g. [13]), combined with a suitable learning framework that enables the information from different sources to be combined for successful recognition. The combination of texture-based features and character-based features appears to correlate to some degree with manual approaches used in forensic science, as demonstrated by Srihari et al in their study of macro and micro features [11].…”

Section: Related Workmentioning

confidence: 99%

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What Should We Be Comparing for Writer Identification?

Newell

2013

2013 12th International Conference on Document Analysis and Recognition

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Certain approaches to writer identification encode handwriting as texture, producing a single histogram of visual features, ignoring any information about the lexical content of the passage. In contrast, other approaches first segment elements of the text, such as characters or bigrams, so that they can be compared like-for-like with other instances of the same element. The difference between the two types of methods can therefore be viewed in terms of what is being compared.In this work we assess the performance of the different approaches as well as exploring the performance of a novel method that lies in between the two. We show that this novel method outperforms the other schemes, achieving an error rate of 0.4% when discriminating samples of 20 characters among 251 writers. This suggests that optimal performance may be obtained by making comparisons between groups of characters, or subtextures, within a passage.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

What Should We Be Comparing for Writer Identification?

Newell

2013

2013 12th International Conference on Document Analysis and Recognition

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“…(borrowing a term from [25]) is preferred over advice from professional forensic writing experts. For an in-depth analysis and comparison of the two differing methodologies see [32].…”

Section: Plos Onementioning

confidence: 99%

Forensic document examination and algorithmic handwriting analysis of Judahite biblical period inscriptions reveal significant literacy level

Shaus

Gerber²,

Faigenbaum-Golovin

et al. 2020

PLoS ONE

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Arad is a well preserved desert fort on the southern frontier of the biblical kingdom of Judah. Excavation of the site yielded over 100 Hebrew ostraca (ink inscriptions on potsherds) dated to ca. 600 BCE, the eve of Nebuchadnezzar's destruction of Jerusalem. Due to the site's isolation, small size and texts that were written in a short time span, the Arad corpus holds important keys to understanding dissemination of literacy in Judah. Here we present the handwriting analysis of 18 Arad inscriptions, including more than 150 pair-wise assessments of writer's identity. The examination was performed by two new algorithmic handwriting analysis methods and independently by a professional forensic document examiner. To the best of our knowledge, no such large-scale pair-wise assessments of ancient documents by a forensic expert has previously been published. Comparison of forensic examination with algorithmic analysis is also unique. Our study demonstrates substantial agreement between the results of these independent methods of investigation. Remarkably, the forensic examination reveals a high probability of at least 12 writers within the analyzed corpus. This is a major increment over the previously published algorithmic estimations, which revealed 4-7 writers for the same assemblage. The high literacy rate detected within the small Arad stronghold, estimated (using broadly-accepted paleo-demographic coefficients) to have accommodated 20-30 soldiers, demonstrates widespread literacy in the late 7 th century BCE Judahite military and administration apparatuses, with the ability to compose biblical texts during this period a possible by-product.

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“…As noted above, style-based retrieval overlaps with writer identification, which has been studied in other historical contexts [2,1,11]. In addition, a body of work has explored the field of modern offline handwriting identification [14,4].…”

Section: Introductionmentioning

confidence: 99%

Style-based retrieval for ancient Syriac manuscripts

Dalton

Howe

2011

Proceedings of the 2011 Workshop on Historical Document Imaging and Processing

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Thousands of documents written in Syriac script by early Christian theologians are of unknown provenance and uncertain date, partly due to a shortage of human expertise. This paper addresses the problem of attribution by developing a novel algorithm for offline handwriting style identification and document retrieval, demonstrated on a set of documents in the Estrangelo variant of Syriac writing. The method employs a feature vector based upon the estimated affine transformation of actual observed characters, character parts, and voids within characters as compared to a hypothetical average or ideal form. Experiments on seventy-six pages from nineteen Syriac manuscripts written by different scribes show that the method can identify pages written in the same hand with high precision, even with documents that exhibit various challenging forms of degradation.

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Writer Verification of Historical Documents among Cohort Writers

Cited by 11 publications

References 6 publications

What Should We Be Comparing for Writer Identification?

What Should We Be Comparing for Writer Identification?

Forensic document examination and algorithmic handwriting analysis of Judahite biblical period inscriptions reveal significant literacy level

Style-based retrieval for ancient Syriac manuscripts

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