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All Journal Aptisi Transactions on Technopreneurship (ATT)
Prakash, Roshan
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Humanities Computer Science & IT Economics, Econometrics & Finance Education Social Sciences

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A Novel Approach for Facial Attendance:AttendXNet Arora, Kawal; Bist, Ankur Singh; Prakash, Roshan; Chaurasia, Saksham
Aptisi Transactions On Technopreneurship (ATT) Vol 2 No 2 (2020): September
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v2i2.86

Abstract

Recent advancements in the area of facial recognition and verification introduced the possibility of facial attendance for various use cases. In this paper we present a system named as AttendXNet. Our method uses the ResNet and Multi-layer feed forward network to achieve the state of art results. Extensive analysis of various deep learning and machine learning techniques is described. Face anti-spoofing is a major challenge in facial attendance. Extended-MobileNet is used to resolve the same issue. We also introduced the end to end pipeline to implement an attendance system for various use cases.
Custom OCR for Identity Documents:OCRXNet Arora, Kawal; Bist, Ankur Singh; Prakash, Roshan; Chaurasia, Saksham
Aptisi Transactions On Technopreneurship (ATT) Vol 2 No 2 (2020): September
Publisher : Pandawan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.34306/att.v2i2.87

Abstract

Recent advancements in the area of Optical Character Recognition (OCR) using deep learning techniques made it possible to use for real world applications with good accuracy. In this paper we present a system named as OCRXNet. OCRXNetv1, OCRXNetv2 and OCRXNetv3 are proposed and compared on different identity documents. Image processing methods and various text detectors have been used to identify best fitted process for custom ocr of identity documents. We also introduced the end to end pipeline to implement OCR for various use cases.
Co-Authors Arora, Kawal Bist, Ankur Singh Chaurasia, Saksham