Table of Contents Recognition in OCR Documents using Image-based Machine Learning

Kosaraju, Sai; Tsaku, Nelson Zange; Pritesh, Patel; Bayramoglu, Tanju; Modgil, Girish; Kang, Min-Hee

doi:10.1145/3299815.3314455

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2019

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“…Structural features focus on the shape of the character, such as line, points, curve, etc. Geometric also features part of the structural features [17], Transformation-based features belong to Fourier Transform category [18], Zoning [3], projections [19] are the most common statistical features where zoning method is most popular method compare to other methods of this category. Horizontal, vertical, and diagonal, these three types of method can be used to extract the feature based on the zoning method.…”

Section: Literaturementioning

confidence: 99%

Zig-zag diagonal and ANN for English character recognition

Gautam¹

2019

IJATCSE

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Pattern recognition is the most popular are in the modern world. Significant progress has made in English character and digits recognition technology. However, the performance of the existing system of English character and digits recognition can be increased. This study is suggested a novel method, zig-zag diagonal feature extraction method along with ANN to increase the recognition rate of the English character and digit recognition system. The proposed method of this method is tested on an official dataset of English characters (EMNIST) and English digits (MNIST), achieving a 99.8% accuracy and 94% accuracy, respectively.

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Section: Literaturementioning

confidence: 99%

Zig-zag diagonal and ANN for English character recognition

Gautam¹

2019

IJATCSE

View full text Add to dashboard Cite

show abstract

Table of Contents Recognition in OCR Documents using Image-based Machine Learning

Cited by 1 publication

References 13 publications

Zig-zag diagonal and ANN for English character recognition

Zig-zag diagonal and ANN for English character recognition

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